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AI PowerPoint Presentations
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Serves as an AI research assistant, capable of searching through millions of academic papers, providing science-based answers, and assisting in content drafting with accurate citations.
Your AI Research Assistant. Search 200M academic papers from Consensus, get science-based answers, and draft content with accurate citations.
Specializes in generating and refining images with a mix of professional and friendly tone.
A GPT specialized in generating and refining images with a mix of professional and friendly tone.image generator
Revolutionizes coding by enabling website creation with just a sentence. Harnesses the power of **************Prompt-gramming***************** with over 15 hotkeys for coding flows and 19 starter projects, encouraging prompt-first creativity and supporting diverse inputs like images or quests.
Coding Wizardđ§ââïž 100x engineer. Learn to Prompt-gram! Create a website with a sentence. 20+ Hotkeys for coding flows. 75 starter projects to learn prompt-1st code & art. Build anything! Ask any question or upload a photo. Type K for cmd menu, P for Projects, R for README v2.5âšđ GPTavern
Enables effortless design of various items such as presentations, logos, and social media posts.
Effortlessly design anything: presentations, logos, social media posts and more.
Aids in navigating through a vast collection of over 200 million articles, journals, and books for research purposes.
AI Scientist - search and analyze text, figures, and tables from 200M+ research papers and books to generate new hypotheses. Formerly the ScholarAI Plugin
Handles PDF documents up to 2GB each, allows thousands of PDF uploads on myaidrive.com with a free account, and eliminates the need for repeated file uploads. The PRO version can search across thousands of PDFs and OCR documents, providing superior summaries for lengthy documents.
Securely store and chat with ALL your PDFs for FREE, no matter the size. Free Chrome extension to save your GPT chats. Pro features include: folder search, OCR, quick summaries, and more. Boost your document productivity today!
Provides scholarly research assistance using Google Scholar and other academic resources.
Enhance research with 200M+ resources and built-in critical reading skills. Access Google Scholar, PubMed, JSTOR, Arxiv, and more, effortlessly.
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Write tailored, engaging content with a focus on quality, relevance and precise word count.
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AI Video Maker. Generate videos for social media - YouTube, Instagram, TikTok and more! Free text to video & speech tool with AI Avatars, TTS, music, and stock footage.
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The 7 best gpts for presentations: create presentations with ai, take your presentations to the next level using chatgpt. check out our picks of 7 gpts that help you engaging presentations that has your audience glued to their seats..
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Prompt to create PowerPoint presentations. Supports creating 20+ slide presentations. Can read links to web pages, Google Drive, OneDrive, and more to fetch content.
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AI bot specializing in creating presentation outlines
Well hello there! Let me guess, youâre here because youâve got a kickass idea you want to share. You have solid data points, key insights that you wanna share - but the problem is, you have no idea how to present it. Create a presentation thatâs all data, and youâll have a snooze fest. Create a presentation thatâs all visual sparkle and you provide no value; AND YOU BECOME A SCHMUCK. Say less, fam! We're about to take your next presentation to not just âgoodâ, but "How TF did they even do that?" good? Keep reading, here are The 8 Best GPTs for crafting presentations that'll have your audience glued to their seats (In a super good way).
1. Slide Maker - Seamless On-The-Fly Presentations
Slide Maker is like The Flash of presentation GPTs. You click it, and bam, you're in business.
One of the cool things we love about this GPT is how you can just turn it into a brain dump for your presentation. Topic, style, color of your cat â whatever cranks your tractor. This GPT takes your idea dump and turns it into something that wonât put your audience to sleep. Trust me, we've all been in those presentations (or meetings) where you wish it couldâve been just an email.Â
It even gets better with the level of customization it offers. Slide Maker listens and tweaks until you're nodding with approval. And when you're all set, you hit export, and there it is â your masterpiece in âšPPTX format âš.
The versatility is the real cherry on top. Pitch deck? Check. Using it for school? Check. A personal project about why J.Cole is the G.O.A.T. in the rap game? Double-check! Slide Maker's got you covered.
Itâs user-friendly, intuitive, and flexible â everything you need to make slides that don't suck.
2. SlidesGPT PowerPoint AI Copilot - Best for Professionals
AHAAA - Yes, SlidesGPT PowerPoint AI Copilot sounds like a mouthful, ainât it? But surprisingly, itâs a nifty tool that's all about making your PowerPoint slides "Whoa, that was actually nice" kind of experience.
You give it the business (Not what youâre thinking) âyour topic, audience, and what you're aiming for in terms of styleâand BAM! it gives you a presentation that could make even the driest topics seem like a big deal.
What we love most about this GPTÂ is the user-friendly interface. It's like having a conversation, but instead of getting back witty banter, you get professional slides.
In terms of effectiveness, it's a massive time-saver for professionals. Educators can make more engaging lectures, marketers present better roadmaps, HECK even show your boss why you deserve the raise youâve been asking for. (lol)
3. Powerpoint Helper - Perfect for Tailored Presentations
The cool thing about The PowerPoint Helper GPT is its ability to create custom PowerPoint presentations that are tailored to your exact specifications.It's like having your own bespoke tailor for slides, but instead of measuring your inseam, it's sizing up your content needs.
You're not getting a generic âone-size-fits-allâ slide deck. This GPT listens to what you need (and want). It's all about personalization â your content, your vision, translated into a presentation that speaks in your voice, visually and textually.
So, whether you need something sleek and professional or quirky and creative, this GPT is like your personal stylist, tailoring your presentation needs with a flair for style that's as impressive as it is efficient.
4. Slide Deck Builder - Geared for Beginners
This GPT is perfect if youâre really starting from scratch or just seeking inspiration. It could be as simple as telling it what your presentation is about. It could be anything from "Why Star Wars is just a film about unresolved family drama" to "ChatGPT vs Google Bard and why itâs neither" This GPT locks onto your topic like a heat-seeking missile.
Design preferences are where itâs at. Do you like it sleek and modern, or maybe a bit retro? Prefer Comic Sans (PLEASE DONâT) or something more classic? This GPT adjusts to your specificities and delivers slides that match your style faster than you can say "make it snappy." đ€Ą
Feed it your key points, data, maybe a couple of jokes (thatâs how we do it), and it turns them into slides that are clearer than our intentions to make you laugh.Â
What do we love? The review and edit part. This is where you channel your inner critic and fine-tune. The Slide Deck Builder is really cool with feedback â it takes your edits like a champ, no ego, no fuss.
Not sure where to start? Slide Deck Builder is your go-to.Â
5. MS-Presentation - A Microsoft Powerpoint Companion
We love the fact that itâs made specifically for being a companion to Microsoft Powerpoint. Nothing beats the OG, and we just wish that we had this GPT available when we were in high school.
MS-Presentation works wonders with the content. However, it cannot create the actual slides for you. So while you have the content down, MS-Presentation will help you structure the content you have prepared and lay it all out slide per slide.Â
This GPT can help structure your slides from 'meh' to 'wow', making sure your audience stays awake, engaged, and possibly even entertained. (That is the goal, right?)
In conclusion, It's easy, it's helpful, and it might just be MS Powerpointâs new best friend! Just remember to be clear about what you need, and you'll be making presentations that could potentially â and we mean potentially â be as charming as us here in Whatplugin! ;)
6. PresentationGPT - Fitted for Outlines
Just imagine if Powerpoint, Google Slides and a highly organized GPT had a baby. Thatâs PresentationGPT.Â
Here's what we love about it: It takes the 'uhm's and 'ah's out of your presentations. It's like having a GPS for your thoughts, getting you from point A to point B without getting lost in the sauce of your own ideas. You will however have to upload your prepared presentation to maximize the benefit of this GPT.
This GPT can be a little too structured for our taste. If youâve gone this far in the article, then youâll notice that we love freestyling our explanations. PresentationGPT still lets you do that, but be sure that you still leave a bit of personality and taste in your presentation.Â
It's an outline, not a script. It's still on to add the color, the personality, the charm (if you can, no pressure). Use it as a skeleton and then put your own thing and style on it. And hey, if it all goes haywire, just distract your audience with a dazzling smile and a witty one-liner. Smile and wave, boiii. Smile and wave. (Works every time)
7. Canva -Â A Well-Rounded Resource for All Your Presentation Needs
Now that weâve discussed all of our Best GPTs for Presentations out there, hereâs the kicker. Canva as a GPT. Canva in itself is already an amazing tool for all your content/presentation needs, but as a GPT? Youâve got one hell of a unit by your side.Â
Using it feels like you're a kid in a candy store, but instead of candy, it's colors, fonts, and images. The customization options go crazy. You can tweak your presentation until it's just right. And when you're done, saving, sharing, and presenting is as easy as sending a text.
We consider this a well-rounded resource, however, you might feel overwhelmed by the sheer number of options. You might even catch yourself asking - âwhere do I even start?â And if you're a perfectionist, you might spend hours tweaking a single design. (A classic case of fixation)
Our advice? start simple. Pick a template that speaks to you and make small changes. Explore some of the tools, And remember, sometimes less is more. Keep your eyes on the prize â your finished presentation.
To wrap things up, Canva in ChatGPT is like having a design team at your fingertips. It's about kickstarting your creativity, making design work less of a suffering and more of an adventure!
And there you have it, my fellow AI Wizards! our roundup of the 7 Best GPTs for crafting presentations.
Now, We know what you're thinking. "This is all great, but how do I know which one is the right fit?" The answer is simple: you've gotta jump in and try them out for yourself. Trust me, it's more fun than trying to understand why some people treat Powerpoint or Slides like a Word Document (They are the worst).Â
Donât also think that AI generated presentations serve less value. These GPTs are your creative partners. They're here to take the heavy lifting off your shoulders, leaving you free to sprinkle your unique touch over your presentations. So, whether youâre pitching to the big bosses, educating the minds of tomorrow, or just trying to prove that J. Cole is, indeed, the G.O.A.T â thereâs a GPT for every situation.Â
So, what are you waiting for? Go forth and present that idea! Have fun creating!Â
GPTs mentioned
Creates PowerPoint presentations for users
Crafts stunning PowerPoint presentations, offering customization and PPTX export options.
Assists in creating professional presentations.
Crafts PowerPoint presentations tailored to specific needs, offering two theme options. Currently in beta version.
Crafts slide decks for presentations.
Specializes in creating presentation outlines and offers guidance for effective presentation structures.
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Home Blog Education How to Create Presentations with AI using ChatGPT
How to Create Presentations with AI using ChatGPT
We all know the hype about ChatGPT, the website-based application developed by OpenAI that answers almost every question you can think about. But what could be its potential to help presenters? Is there room for AI presentations at this current state-of-the-art?
This article will explore what ChatGPT represents for business professionals looking to create quality presentations. As an extra, you will get a case study using ChatGPT to generate ideas to power up a sales presentation. Let’s get started.
Table of Contents
What is ChatGPT?
What does it mean to use ai in presentations, gpt for slides, how to use chatgpt in presentations to engage viewers more effectively, chatgpt free vs. chatgpt plus, case study: creating a smartwatch sales presentation with the help of chatgpt free version (gpt-3.5), best practices for using chatgpt in presentations, alternatives to chatgpt for using ai in presentations, complementary ai for presentations, closing thoughts.
ChatGPT is a deep learning language model developed by OpenAI that is capable of generating human-like text based on the input provided. The main features of ChatGPT include the following:
- Generative Pre-trained Transformer (GPT) : ChatGPT is a cutting-edge, artificial intelligence-based text generation model that utilizes transformer architecture to create linguistically similar text to human writing. This technology has been pre-trained on an immense amount of linguistic data, allowing it to generate intricate and complex sentences with incredibly high semantic richness. Moreover, the output produced by ChatGPT would be 50% longer than usual as it can draw upon a wide range of diverse facts and details to expand upon the original input. This makes ChatGPT an incredibly useful tool for generating long-form written content with ease and fluency.
- Large-scale training : ChatGPT was trained on a massive dataset consisting of over 45 terabytes of text data. The model works by taking contextual cues from the query and utilizing its store of knowledge to craft an appropriate response. Additionally, ChatGPT can learn from user feedback, so it keeps improving over time, providing better results each time the system is used.
- Contextual understanding : This AI tool can model various conversational scenarios using its powerful language modeling and natural language processing capabilities. Therefore, it allows ChatGPT to be able to recognize complex structures of conversations such as discourse, dialogue acts, sentiment analysis, summarization, etc. The system uses large conversational datasets to learn and generate meaningful responses. By modeling contextual information from these datasets, ChatGPT can comprehend nuances in conversations more accurately than existing AI systems. Furthermore, it can perform many other tasks like text classification or text summarization with high accuracy.
- Multiple use cases : ChatGPT can be used for various natural language processing tasks, including question answering, text generation, dialogue generation, and text classification, among others. It is an ideal tool for creating content from a different perspective or brainstorming content ideas.
- Customization : We are speaking about a natural language processing (NLP) tool that can be customized and fine-tuned to the specific requirements of any user or domain. Retraining ChatGPT involves adjusting various parameters such as word choice, sentence structure, and even word meanings to maximize its capabilities for the intended task.
- API-based deployment : ChatGPT can be easily integrated into applications through its API, allowing developers to build custom applications that leverage the power of deep learning for text generation.
All in all, we talk about a multi-purpose tool that can help us for a large number of purposes. Users ought to keep in mind that responses, in some contexts, are not accurate since the software may know about extremely specific topics. Hence, it is constantly learning, and users can correct wrong inputs.
AI tools are used in many different industries, but for presenters, ChatGPT presentations go from the perspective of content generation. Let’s think about the main issues presenters face as “creativity blocks”:
- Not knowing how to break concepts into simple terms or easy-to-apply steps.
- Not knowing how to summarize large chunks of text.
- Getting overwhelmed at the time of picking color combinations.
- Selecting which content should be allocated per slide.
On top of that, we can add lacking presentation skills and feeling stuck when working with time-restrictive presentations as two extra creativity blockers. Although they can be overcome with patience, harnessing new skills, and sometimes asking for professional feedback, AI tools can bring a different perspective.
Think of slides AI-powered by deep learning as having a coach next to you to help brainstorm ideas for your presentations. You can ask the coach to give you a basic outline of a topic, a selection of titles for an article or presentation, and even take a step further and hint hooks to elevate the performance of your presentation. Some other tools, which we won’t dwell on here, can help generate better graphics or analyze data you need to insert into your slides.
Exploring the potential of AI-generated visuals in presentations
Captivating visuals are a key component of delivering impactful messages to the audience. ChatGPT brings a new dimension to presentation design by enabling the creation of AI-generated graphics. These visuals can be seamlessly integrated into PowerPoint or other presentation software, enhancing the overall quality and appeal of the slides.
Whether it’s generating charts, infographics , or illustrations, ChatGPT can quickly analyze data and generate prompts that can be provided as input used to produce visually engaging content through other AI tools such as Midjourney. Presenters can now spend less time designing visuals and more time perfecting their narrative.
Overcoming challenges and limitations with ChatGPT in presentations
While ChatGPT brings remarkable potential to presentations, it is not without its challenges and limitations. One of the primary challenges is ensuring the accuracy and reliability of AI-generated content. Presenters must exercise caution and review the AI-generated text and visuals to verify their correctness before incorporating them into their presentation. Fact-checking is essential to avoid unintentionally presenting false or misleading information.
Additionally, ChatGPT’s lack of emotional intelligence may hinder its ability to respond appropriately to emotionally charged topics or gauge audience sentiment accurately. Presenters should be mindful of relying solely on ChatGPT for sensitive or emotionally nuanced presentations, as human intuition and empathy remain irreplaceable in such scenarios.
Furthermore, ChatGPT may encounter difficulties with understanding context and providing relevant content. ChatGPT 4.0 encounters these difficulties more often than the legacy versions because of the misuse of premium features by different users. As the model’s capabilities evolve, these limitations are expected to improve. Presenters should keep these limitations in mind and be prepared to fill in any gaps that arise during their presentations.
Incorporating natural language processing in presentation interactions
Natural language processing (NLP) is an amazing enabler that fully supplements ChatGPT and adds lots of strength to the interaction and overall engagement with the audience. In the presence of NLP, the presenter can engage on a real-time basis with ChatGPT while delivering the presentation. Audience members are encouraged to ask questions or seek clarifications about the content of the seminar, and new additions include interactive audience polls.
ChatGPT provides a detailed conversation, for that matter, and is thus able to create corresponding responses, so all Q&A sessions become useful and informative. Besides, since ChatGPT is capable of handling deeper and more complex questions using NLP abilities, the engagement goes further into helping the presenter handle specific questioning from the audience right there and, at that point, hence personalizing the presentation for each viewer.
Sentiment analysis can be done through NLP on the go during the presentation, so that the presenter is able to comprehend the feelings of the attendees present in the room and, therefore, drive the content and delivery according to the sentiments. This helps to make sure that the audience is kept engaged and sits throughout the session without any distractions.
Enhancing audience interactivity with AI-powered Q&A sessions
Q&A sessions enhanced by AI empower audience interactivity. Through ChatGPT, a presenter might be able to engage in long Q&A sessions without being confined by time restrictions. Members of the audience may ask questions, and ChatGPT could then parse and even categorize these requests so that it aids the presenter in giving out thorough and accurate answers.
Additionally, the capacity of ChatGPT to predict follow-up questions can make it more effective in drafting more insightful answers. As a reaction by audiences, they feel more involved and valued in the preparation thus increasing their active participation.
AI-powered Q&A sessions benefit not only the audience but also presenters for the feedback and insights that could be received from the audience. In fact, due to the feedback loop in the communication process, it could be used to adjust what to present in the foreseeable future and how to add value to the audience.
Future possibilities: AI’s role in transforming presentations
As AI technology, including ChatGPT, continues to advance, the future of presentations holds exciting possibilities. We can expect AI to play an even more significant role in transforming the way presentations are created and delivered.
AI-driven virtual presenters might become a reality, capable of conducting presentations autonomously. Virtual presenters could adapt their content and delivery based on real-time audience interactions, resulting in highly personalized and engaging presentations.
Furthermore, AI could aid presenters in speech coaching, offering suggestions for improving delivery, tone, and engagement. This real-time assistance can help presenters refine their presentation skills and deliver more effective talks.
The integration of AI-generated visuals and animations could lead to stunning and immersive presentations, captivating audiences like never before. AI’s ability to analyze audience preferences and behavior can also enable dynamic content generation, ensuring that presentations remain relevant and compelling to diverse audiences.
ChatGPT can produce intriguing content pieces for presentations, and now you can use it to generate the content for your slides, a presentation structure, or even the images and visuals for your presentations, with its built-in integration with DALL-E 3. This AI engine can create ideas and prompts for pictures and visuals that would enhance the quality of your work. Alternatively, you can use other AI tools for image generation with the prompts created by ChatGPT.
Ethical considerations when using AI in presentations
As we embrace the potential of ChatGPT and other AI technologies in presentations, ethical considerations must be at the forefront of our minds. Presenters must be transparent about the use of AI-generated content, informing their audience about the degree of AI usage. In scenarios where AI is not used to generate the exact content for presentations and answers, presenters are not ethically bound to make a statement. However, if AI had a vital role in coming up with the answers presented to the audience, the presenters are ethically bound to make a statement about the use of AI in their presentation.
Additionally, data privacy and security should be given utmost importance. Presenters must ensure that sensitive information is not shared with AI platforms and that data is handled responsibly and in compliance with relevant regulations.
While AI can greatly enhance presentations, it is crucial to retain human oversight and judgment. Presenters should avoid over-reliance on AI and ensure they maintain control over the content and flow of the presentation. AI should be treated as a valuable tool that complements human expertise rather than a substitute for it.
Ultimately, embracing AI in presentations requires a thoughtful and responsible approach, where the benefits of technology are balanced with ethical considerations and human values.
Many of us are already familiar with the basics of ChatGPT, but in fact, this software implements what’s known as a Generative Pre-trained Transformer, the language model developed by OpenAI. Therefore, ChatGPT isn’t the only gateway to use GPT for presentations.
The key to unleashing GPT power in presentation design is to work with the now-released open-access API that allows developers to use GPT in their applications. Multiple applications already count with integrations with ChatGPT and Generative AI, such as Zapier, Copyleaks, Code Snippets AI, and Notion AI , or even our AI Presentation Maker . Another one that truly caught our interest is MagicSlides.
Although this is not equivalent to ChatGPT for Google Slides, MagicSlides is a third-party plugin that allows us to work with the GPT API in Google Slides. To use it, you must count on an OpenAI account to create an API key access to GPT. Working with a single Gmail account is recommended to avoid performance issues. If your Google Chrome profile has multiple accounts, create a new profile from scratch and work only with one Gmail account.
Then, the concept is quite simple: you give the plugin a topic and the number of slides to create, and that’s it. You can add extra info as an optional feature, like instructions for which tone to use, which keywords to list, etc. The outcome is a simple presentation structure in a solid color background; you can customize from that first iteration to your preference, like changing the Google Slides theme color , for example.
Depending on your goals, there are multiple takes on how you can use ChatGPT to make your presentations more engaging. For starters, you can use this deep learning model tool to create AI-powered presentations in the format of interactive Q&As , allowing users to ask questions and visualize the responses live. If your presentation has a multicultural audience, ChatGPT offers the option to provide real-time language translation , which can be integrated via subtitles into the presentation template .
Storytelling is a powerful asset for presentations, and through ChatGPT, users can generate narratives from scratch or based on a set of prompts. These stories can be personalized by adding interests from the audience’s members or preferences, so the story remains relevant to the overall presentation. Another important feature to highlight is that we can generate character dialogues for our stories, making the presentation more immersive and entertaining for the audience. Also, ChatGPT can add contextual data in the shape of statistics or big data information, turning them into understandable pieces of information rather than complex concepts.
In terms of visuals, we can create captions and descriptions or generate alt-text for images, videos, and animations, making them accessible-ready.
This same take can create accurate virtual tours through ChatGPT, providing information, context, and insights on specific locations during a presentation.
Gamification is another area to exploit through AI-powered presentations, and we can add that element to our slides in the following formats:
- AI-powered quizzes : By integrating ChatGPT in presentations, we can create AI-powered quizzes or trivia games as alternatives to Q&A sessions. This serves to test the audience’s understanding of the topics exposed.
- Scavenger hunts : We can create a presentation powered by ChatGPT in which the audience has to solve puzzles or find content based on the presentation information.
For sales purposes, ChatGPT can help business professionals generate predictive analytics models to understand market trends or customer behavior, making an impact in sales presentations.
We cannot conclude this section without mentioning the ChatGPT integration procedure’s basics required for some of the features exposed here. As users, we must integrate ChatGPT into the presentation software as an API or a plugin. Then, the input recognition helps the deep learning model understand text input from the user or the audience. Thanks to its NLP (Natural Language Processing) algorithms, the information passed through the ChatGPT API is processed to generate an appropriate response and streamed through selected mediums.
ChatGPT is available to us in two versions: a free version, with ample capabilities but restricted to a number of inputs per hour and advanced tools; and a paid version, with up-to-date features and virtually no restriction for usage. The first version is ChatGPT Free (in its current GPT-3.5 model), and the second is ChatGPT Plus, which uses GPT-4.
Free users might face restricted access or longer wait times during high server demand. This limitation is due to resource prioritization, where the server capacity is allocated to maintain service levels, especially for paying customers. Still, premium users can find themselves restricted by a so-called Usage Cap , which is unfriendly considering it is a paid subscription service. Experience does tell us the limit gets reached sooner if using plugins or GPTs inside ChatGPT.
The response speed is also variable, as the premium members are prioritized. Typically, GPT-4 may feel a bit laggy compared to the paid GPT-3.5 version. For free users, response time will be at its lowest around 1-5 pm PST.
Although the subscription-fee pricing may sound a bit hefty, depending on the usage of ChatGPT it can be profitable as it reduces the need to hire extra personnel for mundane tasks. Additionally, ChatGPT Plus comes with these particularly attractive features:
- Early access to new features or GPT tooling. Some of these tools are of interest to sophisticated tasks like research and data analysis.
- DALL-E integration: Paid members get full usage of DALL-E, using it solo via prompts to generate images or pair it with useful GPTs for specific purposes, like logo creation, cartoon characters, image generation, and prompt generation (intended for Midjourney).
- Image-to-text: Paid members access image-to-text responses by pasting the images in the input area. ChatGPT will analyze the image’s content and generate a response based on the prompt written by the user.
- Plugins: Thereâs a broad range of plugins available for users. Depending on your requirements, they get installed into your ChatGPT account and can be activated/deactivated. Remember that some of these third-party plugins may require an additional subscription fee by their creators.
When planning this article, the main objective was to test, from a presenter’s perspective, an introduction to ChatGPT for PPT presentations. Therefore, we devised a hypothetical case: A brand wishes to present its new smartwatch at a live event. The presentation has to be streamed, and there is a select live audience attending the event. This presentation follows the format of other tech presentations like new releases.
What are our main objectives to achieve in this case study?
- Obtain an outline of what the presentation should be about.
- According to the “sales presentation for a smartwatch” requirements, obtain a list of elements to include per slide.
- Generate suggestions on how to engage the audience to buy the product.
- Get insights on which elements to avoid while performing the presentation.
- Repurpose the presentation’s content to another format (article, social media, infographic, etc.)
So, our case study starts after logging into ChatGPT and giving detailed instructions: “Create an outline for a sales presentation about smartwatches.”
ChatGPT generated this presentation outline:
- Brief overview of the topic
- Purpose of the presentation
- Importance of smartwatches in today’s world
- Convenience
- Health & fitness tracking
- Communication and notifications
- Mobile payments
- Time management and productivity
- Display and design
- Operating systems
- Battery life
- Water resistance
- Sensors and tracking capabilities
- Showcase different models of smartwatches
- Highlight the unique features of each model
- Live demonstration of various functions and capabilities
- Share experiences of existing customers
- Highlight the impact of using a smartwatch in their daily lives
- Summary of benefits and key features
- Call to action
- Q&A session
Interestingly enough, it’s time to cross-reference with what we, as presenters, intend to create out of the presentation.
Slide #1 – Introduction
As suggested, the ChatGPT introduction PPT will be handled through the first slide. Since the brand presenting this smartwatch is already established and has brand recognition, the purpose of the presentation shall be to track back to some key features of prior presentations. This implies if the brand has an iconic aesthetic used to start the presentation , that format should be preserved.
The point about the importance of smartwatches in today’s world is rather obvious given the kind of event; therefore, it will be replaced with some stats on how the brand has helped customers through the years to improve their lives thanks to these devices.
After the introduction is made, it should be immediately followed by an agenda slide .
Slide #2 – Benefits of smartwatches
Instead of generalizing the benefits of smartwatches, this second slide will directly speak about the features to be introduced in the to-be-released unit. It has to mention updates on health and fitness tracking functions (i.e., sleep pattern recognition, medication reminders, blood oxygen, wrist temperature, etc.), which new integrations it offers for mobile payments, productivity tracking apps, and how the notification system is updated. For convenience, we can directly mention a lighter watch specification (in terms of size and weight) or include those elements in the third slide.
Slide #3 – Key features of smartwatches
Now is the time to display your product in front of an audience. Some high-key photos taken by professionals should appear, as well as animations with a 360-degree view of the model.
Next, we have to talk about the specs. Battery life, display size, and type, display resistance, waterproof/weather resistant capabilities. The new OS version is to be included in the unit, with the revisions listed from a prior version. To conclude, here is a list of the sensors paired with this smartwatch and their expected functionality.
Product demonstration
This point doesn’t have to be a slide. It can be a blank slide. A slide featuring the title “Product Demonstration” or a video. The purpose is to give room to the presenter to engage with the device, showing its functionality in real-time to the audience. Cameras should focus on the watch in detail as the presenter emulates daily life activities using the smartwatch.
Slide #5 – Customer testimonials
This can also be displayed in video format, with happy customers interacting with priorly-released units, to conclude with powerful graphics showing “the future” – a.k.a. the new model released.
Slide #6 – Closing
This is where you can become creative. A good point would be to feature an infographic comparing the functions and key specs between models (to highlight the reasons why users should upgrade). Call-to-actions are to be introduced here, using the element of excitement to create interest in buying the product.
What ChatGPT suggested
We ran the exercise of asking ChatGPT what would be content to list on these slides, and here is the output.
Slide 1: Introduction
- A captivating image related to smartwatches (which we added)
- A brief overview of the topic
- The purpose of the presentation
- A statement about the importance of smartwatches in today’s world
Slide 2: Benefits of smartwatches
- Benefits include convenience, health and fitness tracking, communication and notifications, mobile payments, and time management and productivity.
- An image or graphic to illustrate each benefit.
Slide 3: Key features of smartwatches
- A list of features includes display and design, operating systems, battery life, water resistance, sensors, and tracking capabilities.
- An image or graphic to illustrate each feature.
Slide 4: Product demonstration
- Images or graphics of different smartwatch models.
- A brief description of each model, highlighting unique features.
- A live demonstration of various functions and capabilities.
Slide 5: Customer testimonials
- Quotes from existing customers about their experiences with smartwatches.
- Images or graphics to accompany the quotes.
- Highlight the impact of using a smartwatch in their daily lives.
Slide 6: Closing
- A summary of the benefits and key features of smartwatches.
- A call to action (such as encouraging the audience to purchase a smartwatch)
- A space for questions and answers.
As we can see, ChatGPT’s approach isn’t far from what we accommodate the presentation to be. It is pretty generalist despite mentioning the case in first person during the user input, but that can be expected from AI deep learning models. Reiterative answers in some sections can also happen, although not as noticeable as other alternatives to ChatGPT, which we shall mention later.
Engaging the audience with ChatGPT
Points #1 and #2 of our case study are done, so we move to get suggestions from ChatGPT to engage the audience about buying the brand’s smartwatches.
This AI tool presents us with six different hooks to engage our audience .
- Pain point focus : We have to identify a common pain or problem many people face, then show how our smartwatch solves that problem. For example, it uses the case of difficulties experienced in time management and how a smartwatch can solve that problem.
- Personalization : This hook focuses on how the smartwatch can be customized to fit each individual’s needs and preferences. We can mention changing the watch face, the app market, or using custom bands.
- Health and wellness : By highlighting the health and fitness tracking capabilities, you can show customers how to lead a healthier and more active lifestyle.
- Convenience : This hook points to using the smartwatch in daily activities such as making phone calls on the go, enabling mobile payments, or browsing notifications without needing to check your phone.
- Emotional connection : Using customer testimonials, you can create personal stories demonstrating a smartwatch’s positive impact on someone’s life.
- Highlighting unique features : This would be your competitive edge. Explain which features make your smartwatch stand out in the market.
Recommendations on presentation mistakes
An advantage of GPT language is the ability to develop accurate recommendations based on the context showcased. For our case study, we asked ChatGPT if there were any mistakes to avoid when giving this presentation about the release of a new smartwatch.
In this case, ChatGPT presents us with seven mistakes that presenters commonly make on topics like this. We can put aside the lack of preparation, as no professional presenter would arrive at a product release presentation without proper practice and assets.
The second mistake is related to bombarding your audience with technical details, which can end up boring the spectators. Instead, it offers the alternative of shifting focus to the product’s benefits and how it can help solve real-life problems.
Ignoring the competition as a mistake is questionable. You don’t see Apple speaking about Samsung smartwatches in their product releases, nor Sony talking about Nintendo or Xbox when presenting their newest PlayStation unit. That should go more from a preparation side when researching what the competition did to catch the audience’s attention.
Not showing the product! This suggestion surprised us. Honestly, how can you come up with a presentation about a product release and not even show a photo of the product itself?
Failing to answer questions can happen if the presentation stretches long enough to conclude the event, but it is not a common mistake in professional technology presentation events.
Poor visuals and slides, yes, we concede it is a common issue experienced by presenters, especially if they are overly populated with text.
Finally, it lists not practicing the presentation, which we also put aside as we did with the first mistake.
Overall, we ended up with 2 valid suggestions to look for out of the seven suggested. We can always retry the output, but when we tested that, the suggestions were pretty much similar.
Repurposing content with ChatGPT
So what if we intend to use the information in this presentation for another medium, for example, a blog post on the brand’s website? We asked ChatGPT to give 10 title ideas for blog posts on smartwatches for a tech website.
- “The Top 10 Features of the Latest Smartwatches”
- “Why Smartwatches Are the Future of Personal Technology”
- “How to Choose the Best Smartwatch for Your Lifestyle” – OK
- “The Health Benefits of Owning a Smartwatch” – OK
- “The Most Innovative Smartwatches of the Year”
- “Smartwatches vs. Traditional Watches: Which is Right for You?”
- “Maximizing Your Productivity with a Smartwatch” – OK
- “How Smartwatches are Changing the Game for Fitness Tracking” – OK
- “The Convenience of Mobile Payments with a Smartwatch” – OK
- “The Impact of Smartwatches on the Wearable Technology Market”
Out of the ten titles suggested, half are a good fit for the content of our presentation, which, of course, requires additional research.
Asking ChatGPT for extra recommendations
So far, the outputs generated by ChatGPT have been interesting from a content perspective. But let’s ask some more questions to test its true capabilities as AI content.
We start by asking, on that same thread, how long the presentation should be.
It gives a vague answer about sales presentations, recommending sticking it below the 30-minute mark. The section about “clear, concise, and engaging manner” is presented as a vice through this thread – we believe we counted about 7-8 times that same sentence repeated in the entire chat.
We move on to another question, this time asking ChatGPT which would be the best visual medium to present a smartwatch: a detailed infographic or a video.
Again, we see the “clear, concise, and engaging manner” phrase in the second paragraph, which is somewhat rephrased in the final paragraph of this output. The suggestion retrieved is that infographics can help sales presentations highlight key features and benefits while also clarifying to the audience what your competitive advantage is. It recommends using videos as a bridge for emotional connection with the audience since they can demonstrate the product in action.
Finally, we wanted suggestions about the color scheme in the presentation slides to encourage customers to buy the product. Below is an image of the output generated.
If you check our article about color theory , especially in the section about color psychology, the suggestions are okay. The question lies in a generalist output rather than explicitly suggesting a color palette for this.
Now it’s time to brief some tips to help presenters extract the potential of ChatGPT for presentations at its current state-of-the-art.
Avoid complex inputs
Asking a detailed question can make ChatGPT crash. You can question whether it is your mistake or just the server overloading. A good practice for this is checking ChatGPT’s homepage, and if the message shown below is displayed, there’s a server outage.
This can be flagged as a partial outage triggered by requests going way higher than the system can handle. Those peaks in navigation are seen at certain hours, especially during the Pacific Time afternoon. A complete server outage can happen, and that’s notified through a different warning, saying the service will be up soon.
Don’t rely on the text generated by ChatGPT
Especially if your intent is to repurpose the presentation’s content for a blog post, be EXTRA cautious when using AI tools like ChatGPT. Google is flagging and penalizing websites that retort to AI content generation . This is explained by the necessity of providing users with the best quality content available for their search queries. Your website can endure a severe demotion in rankings triggered by ChatGPT content.
A good practice is to rephrase the content manually, meaning to actually read what ChatGPT generated and explain it in your own words. That way, ChatGPT becomes an idea generator rather than a content generator.
Take a look at repeated outputs
You can always regenerate the response if the output doesn’t satisfy your needs or rephrase the question to make it more specific. We tested the option of saying “do not include⊔ but it works randomly.
Any AI tool for presentation is not intended to become an instant solution, and we cannot assume that we can entirely create a presentation with ChatGPT as the only resource. This process requires patience, skills to give the proper instruction (to avoid those repeated outputs), and a good deal of copywriting skills.
Outlines and title generation
ChatGPT is an amazingly effective tool for creating presentation outlines, helping a common writer’s block. Title generation is accurate, although it falls into the generalist category and can be easily flagged as AI content. We advise you to double-check titles, rephrase, or simply use the output for brainstorming.
Learning a new skill/definition
Say you have to deliver a presentation about a concept you don’t clearly understand – which, under some situations, can perfectly happen. ChatGPT can help you learn that concept to basic professional competence, and you can ask as many questions as desired to get a broader picture of the topic. Think about it as a personal, free coach.
Of course, do not take the outputs as absolutely true, as some responses can be biased through the machine learning procedures applied. With dedication, you can train ChatGPT yourself and help the community get better responses.
Evaluate emotions
Yes, as cutting-edge as it sounds, the natural language processing features of ChatGPT and its machine learning algorithms help users evaluate their emotions in different datasets. How can this process be accomplished? Let’s go through a basic overview.
- Data Collection : Feed ChatGPT with transcripts from speeches or customer reviews.
- Model Review : ChatGPT uses machine learning algorithms such as Support Vector Machines (SVM) or Recurrent Neural Networks (RNN) to develop the emotion recognition model.
- Prediction : After the system processes the information, the output is sent using predictions that can be repurposed into new information.
- Integration : With the new information generated, we can create graphs and charts to turn into visually-understandable data the emotion analysis generated.
This kind of feature is ideal for processing large chunks of data regarding customer reviews and finding common patterns of conflict (i.e., areas in which customer service can be improved).
Despite being the best-advertised option for GPT language tools, presenters should check other AI alternatives for content generation.
In our experience, Jasper one of the best content generator based on AI available in the market. We tested it in multiple scenarios, like generating metas, creating a presentation structure, generating step-by-step solutions, title ideas, and more.
We can work from pre-made templates or directly use the powerful Boss Mode, which is intended for long-format text generation, and it crawls the internet to search for valid answers.
Our objections? Jasper can be reiterative with its answers, rephrasing or reusing the same sentences in the L length (which is the maximum) of text generation. Much like what happens with ChatGPT, some answers fall into the generalist side, meaning there’s room for improvement.
Frase is an AI tool for content generation to improve Google search ranks.
We can appreciate considerable differences in keyword management for content generation (Jasper only allows 3 keywords), maybe due to this tool’s primary intent, which is web content.
Users can generate presentation structure, content briefs, large pieces of content, detailed analysis, and more, and customize where the AI engine is extracting the information from (if SERP, People Also Ask, Questions, Headers, Topics, etc.)
For presenters, Frase can be used to generate speeches or repurpose presentations into quality blog articles.
Tome.app ppt is a new multimedia tool to generate AI-powered presentations by integrating ChatGPT, Dall-E, and other interesting features.
The free mode offered by Tome is pretty simple. You sign in and then are offered a set of pre-made templates to test. Or, you can hit the create button and create a presentation from scratch.
You then write what the Tome presentation is about and click on create. Options for selecting which type of illustrations you want to add are listed, and if you intend to create a presentation, an outline, or a story.
It is an interesting take on presentation crafting. However, some users can feel it is restrictive due to using only Dall-E-generated images instead of uploading their photos.
iA Presenter
Finally, we have iA Presenter, a tool still in the beta stage with a waitlist to access its features.
The proposal is truly interesting: you introduce text that can be extracted from multiple sources, and then you designate which are the headlines (using the # in front of the text). Slides are separate from each other by adding a – – – (triple dash) on the text.
Images can be easily incorporated, and there are plenty of options to create visual cues, such as gradients, which are better audience magnets than common bullet points.
In this section, we wish to list some of the tools we have tested to speed up the content creation process from scratch. Yet when we consider the future of AI presentation as something vague, these tools have caused an uproar in terms of content development.
As the final AI image generation tool on this list, we should mention Midjourney , an AI tool that has raised controversies when winning an artist competition against real-life artists .
To access Midjourney, you have to apply to the official waiting list. After you are accepted, you’ll receive an invitation to their Discord server – a requirement to interact with the tool.
Like any Discord server, your interactions with the tool are public unless you create a private channel and invite the Midjourney bot to it. This would be our personal suggestion so you preserve the privacy of your projects. Midjourney works with credits in a subscription-based plan (basic tiers allow 200 images per month). The time to process each image depends on demand.
As we have seen with Jasper, DeepAI is a text-generator AI tool based on NLP (natural language processing). Its application is to create creative content as if written by humans, but we found its most powerful application in text translation.
If you used to struggle with making subtitles for your presentations, then take a look at DeepAI now.
Synthesia.io
We can all agree that video content production is expensive. Especially if we have to hire actors to do voiceovers or have them appear in video presentations. Synthesia.io takes video content creation a step further, allowing us to produce realistic videos with realistic AI avatars. These avatars are gender diverse, and they can fit multiple contexts, like doctors, corporate workers, athletes, common people, and even Santa Claus!
There is multiple language support available for Synthesia, with access to distinctive accents (like you want your avatar to talk in Mexican Spanish rather than Castillan). 50 customizable video templates are available for users, and you can also retrieve graphic assets from your computer or royalty-free services like Unsplash or Pexels.
This tool is subscription-based, but you can start with a free trial. For a text-to-video tool, the fee doesn’t sound that expensive, especially considering the outcome and what it would be to produce such reels with real-life actors. We want to highlight that, in some cases, avatars look a bit robotic (like not blinking when speaking), so test the different options available with enough time to craft the best quality video for your needs.
If you want to deliver presentations with realistic AI voiceovers, then you ought to test Murf AI. It is a text-to-audio AI generator, with a library of more than 100 professional voice actors in 20 different languages. Creating voiceovers in Google Slides presentations is an easier task now as you can export voice, voice + music, and even subtitles in formats like MP3, WAV, or FLAC. Exporting to video is another option, but we find tools like Synthesia to be more powerful for this purpose.
What is AI for presentation design?
AI for presentation design refers to the use of artificial intelligence tools and software to assist in creating, enhancing, or automating various aspects of presentations.
What are the limitations of ChatGPT?
ChatGPT can’t be fully trusted for the accuracy of information, especially in matters of recent events or really specific subjects. It often messes up and the response isn’t accurate. Another thing is that it lacks essentially personal experience and feelings. That’s because it is a machine learning model that has been trained on a wide range of text from the internet but does not have the capability to access or retrieve information beyond what it has been trained for based on data up to its last update.
How does ChatGPT handle sensitive topics?
It is coded to avoid engaging in conversations about illegal activities, explicit content, and other sensitive topics. Still, some users have tested this to the limit by rephrasing the prompts to force ChatGPT to answer (for example, in piracy-related conversations). Users should also take into account that some answers may be politically or socially biased.
Can ChatGPT speak multiple languages?
ChatGPT is capable of understanding and generating text in multiple languages, though its proficiency varies depending on the language. Much like Google Translate, English is the base language and the answers are best delivered if asked in English.
Does ChatGPT Plus offer API access?
ChatGPT Plus itself does not offer API access, but OpenAI provides separate API services for businesses and developers.
How does ChatGPT handle user data?
ChatGPT follows OpenAI’s privacy policy, which includes measures to protect user data, but it’s important to avoid sharing sensitive personal information.
What happens if you reach the Usage Cap in ChatGPT-4?
The tool will trigger an error message saying you reached the limit and from which hour it will be available to use again. As a “solution,” it offers to switch to GPT-3.5 to deliver the answer.
Does ChatGPT learn from user interactions?
ChatGPT does not learn in real-time from individual user interactions; it learns from a wide range of data during its training phase.
Can an AI presentation maker help with slide layout and design?
Yes, AI can suggest slide layouts, font choices, color schemes, and design elements to create visually appealing slides. Still, remember that ChatGPT is a language model and not an AI presentation maker on its own.
Is AI capable of proofreading and editing presentation content?
Yes, AI for presentation can proofread and edit presentation content for grammar, spelling, and clarity to improve overall quality. We still recommend pairing it with proven quality tools like Grammarly for reassurance on grammar correction.
The current state-of-the-art for AI presentations is rather incipient. 2022 can be taken as the first year in which AI started to fill the conversation topics and proved itself to be a powerful variant of human-created content, although not a replacement.
We consider there’s room for improvement in ChatGPT for PowerPoint presentations and in all tools presented here, which naturally shall follow through usage. Regarding ChatGPT, the potential lies in idea generation, not copying/pasting extracted content. Think of ChatGPT as an extra tool in your arsenal to become a better presenter, not the panacea for presentation design.
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Presentation Approaches, Presentation Tips Filed under Education , Presentation Ideas
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Prompting chatgpt to create a presentation outline, slide notes, and slide text, creating illustrations for powerpoint with midjourney, putting it together, tips and tricks, ai in your office, key takeaways.
By incorporating ChatGPT and MidJourney into your workflow, you can create compelling PowerPoint presentations with ease. ChatGPT helps generate presentation outlines, slide notes, and slide text, while MidJourney provides visually captivating illustrations. These AI tools enhance your productivity and allow for impressive customization in your presentations.
Despite all our modern technology, putting together a slideshow is still a chore, even if you're really passionate about the topic you're presenting. By adding ChatGPT and MidJourney into your workflow, you can produce amazingly creative presentations all by yourself.
It's not a stretch to say that OpenAI's ChatGPT has disrupted content creation. While most of the attention is given to fancy, complex use cases, the humble PowerPoint presentation can benefit too. Here's a general set of steps, you can modify them based on your specific presentation.
Step 1: Set the Stage
Start by providing ChatGPT with a clear and concise briefing. This includes the presentation's topic, the intended audience, and the key messages you want to convey.
Make sure to be specific, as this helps the AI generate more focused content. Don't submit the prompt yet, or if you accidentally do just use the "Stop Generating" button to halt the process.
Related: How to Collaborate on a Microsoft PowerPoint Presentation
Step 2: Request an Outline
Once you've set the stage, request ChatGPT to create an outline for your presentation. For instance, you can say, "Please create a PowerPoint presentation outline based on the briefing I provided" at the end of your prompt or as your next prompt.
ChatGPT can recall what's been said in the chat thread, so you can refer back to your brief without repeating the same information.
Related: How to Track Changes in Microsoft PowerPoint
Step 3: Review and Refine the Outline
After obtaining the initial outline, review it for coherence and relevance. If any point seems off, ask ChatGPT to revise it or provide additional information. ChatGPT works best with a back-and-forth process between you and the software. Treat it like another person on your team!
Step 4: Ask for Slide Notes
When you're satisfied with the outline, ask ChatGPT to generate slide notes for each point. You can do this by saying, "Please provide detailed notes for each point in the outline."
Again, you can ask ChatGPT to change the notes or correct them, or if you like you can edit them the old-fashioned way.
Now that you have the notes for every slide, the next step is to ask ChatGPT to create suitable text to go on each slide. Here I simply used the prompt "Please provide suitable text that I can put on each slide."
Since ChatGPT generally knows the formats of various media and styles, you'll get text that will fit on your slides while conveying the most essential info.
Related: How to Make a PowerPoint From an Outline
After creating your presentation outline and slide notes, it's time to bring your PowerPoint to life with visually captivating illustrations. MidJourney is a superb tool to help you with this, if you're looking for something artistic to have in your presentation. It won't however help you with a pie-chart or histogram, but you can make some pretty impactful imagery to represent a specific vibe or theme.
If you don't already know the basics of MidJourney, you'll have to head over to our MidJourney beginner's guide to review the general process.
For our small demo here, we'll start with a basic prompt, in this case, "computer technician working on a computer corporate cartoon."
As you can see, MidJourney gives us four images that are all candidates for our presentation. You can click the corresponding "U" button to upscale any of the individual images in the grid. U1 and U2 represent the top row of images, and U3 and U4 the bottom two.
You don't need to know any advanced MidJourney commands and methods to make neat imagery for your presentation, except for the custom aspect ratios.
Simply add "--ar W:H" at the end of your prompt, replacing "W" with the width and the "H" with the height.
For example, I love making slides that are split 50/50 between the text and graphic. Since slides have a 16:9 aspect ratio, it means you can use "--ar 8:9" to get something that takes up exactly half of the slide.
Related: How Good is MidJourney at AI Art? We Compared All the Models
As of this writing, MidJourney. doesn't offer high levels of control over the images you get, but if you're particular about your images, try to use the same modifiers in your prompt. For example, we used "corporate cartoon" in the previous prompt, and by reusing with a different subject you'll usually get images that look thematically coherent. Remember that you can keep re-rolling the prompt if you don't get what you want at first, and you can use the "V" buttons to create variations of an image that was close but not quite there.
Now that you have the text and imagery for each slide, it's time to throw it together in a slide. Now you can apply your existing knowledge of Powerpoint (or the presentation software of your choice) to polish up the look and feel of your presentation.
Armed with this basic knowledge, you can use these AI tools to up your presentation same significantly, but there are some additional tips and tricks you can keep in mind for even better results:
- Use detailed prompts: This is particularly true for ChatGPT, but it also counts for MidJourney. The more you put into the prompt, the more likely you'll get what you want.
- Have a back-and-forth: For ChatGPT, in addition to a detailed prompt, you should have a back-and-forth conversation to refine and improve your presentation outline and notes.
- Consider an MJ prompt creator: There are several online prompt creators for MidJourney made by third parties, that give you easy access to things like setting an aspect ratio, or defining a particular style or color palette. A good example is the MJ Prompt Tool by Noonshot, although it hasn't been update for a while. Searching for "MidJourney Prompt Generator" using the engine of your choice will give you a list with numerous similar tools, all of which have their own pros and cons, so try a couple.
- Use Color Words in MidJourney: Put the colors you would like to feature in your image's prompts, and then use those same color words for all your illustrations to get a uniform color palette across your images.
The prompt-engineering rabbit hole goes as deep as you want it to, but these basic tips and tricks should be more than enough to transform your PowerPoint Game.
I'll be the first to admit that using ChatGPT and MidJourney like this feels like something of a kludge. However, generative AI tools are already being integrated into productivity software. For example, Canva has an AI image generator built right into it and Grammarly also includes generating AI now. Microsoft 365 itself has CoPilot, so its worth looking over what these tools can do for you when creating documents. One way or another, there's an AI assistant nearby to help you get stuff done more quickly.
How to Use ChatGPT to Create a Presentation
Tired of making presentations the old way? Learn how to use ChatGPT to create a presentation that will wow your audience.
Creating a presentation can be a daunting and time-consuming task. Researching the material, writing the text, styling the slides, adding images, and rehearsing it all consume a lot of time and energy.
What if you could have AI create it all for you? Since ChatGPT can't output files, you can combine ChatGPT with another AI tool and have them build your presentation from scratch. All in a matter of seconds. Sounds good? Read on to learn how.
Create a Presentation From Scratch With ChatGPT
Before diving into creating a presentation with ChatGPT, let's go over the steps involved. We'll use a combination of two AI tools to make this presentation.
ChatGPT is well capable of generating text based on your prompts. You can use ChatGPT to create the text for your presentation slides, but that's about all ChatGPT can do in this case.
The other integral element is SlidesAI . This is a tool specifically designed for Google Slides that can automate the creation of presentations. All you need to do is give it the text and pick a theme style. Then, with a single click, SlidesAI will create an entire Google Slides presentation for you. It'll even attach appropriate stock photos where needed.
Of course, like most other AI presentation tools , the free version of SlidesAI has limitations. You can only create three presentations per month, and the text for each presentation is limited to 2500 characters. You can purchase a paid plan to extend these limits.
Once you've generated the presentation, all that is left is to make some final changes and export the presentation to any format you like. If you want to create a PowerPoint slideshow with AI, you can follow these same steps and then export the slideshow to PowerPoint.
1. Generate the Presentation Text With ChatGPT
The first step in creating a presentation is to generate the text with ChatGPT. To get a proper output, you must provide ChatGPT with some basic information about the presentation, such as the topic, the audience, and the main points you want to cover.
Although this guide exempts you from many steps in creating a presentation, you should always research the topic before using ChatGPT. This way, you'll quickly recognize misinformation in ChatGPT's output, and of course, you won't embarrass yourself if the audience asks you a question.
The prompt you feed to ChatGPT determines the output text, which in turn, determines SlidesAI's behavior and output. It's important to carefully construct your prompt and include everything you want to see.
So, other than the topic, your prompt should include the main points and some structural features like the number of slides. You can see a sample conversation with ChatGPT for this purpose in the image below or through this shared chat link .
Once you have provided the information, ChatGPT will generate the presentation text for you. You can edit and refine the text to meet your needs and preferences. It's best to remove the structural phrases, such as the slide numbers and the image descriptions. Keep only the main text.
If you'll be using the free version of SlidesAI, it's important to note that there are limits on the number of characters and slides. Specifically, the free version has a limit of 2500 characters and can generate no more than ten slides. You can adjust your prompt or edit the ChatGPT output if you need to work within these limits.
If you want to make the whole process even easier and don't feel like editing the AI-generated text yourself, you can use yet another AI writing tool to edit ChatGPT's output.
2. Install SlidesAI for Google Slides
After generating the text for your presentation, the next step is to install SlidesAI for Google Slides . You can do this through the Google Slides add-ons store.
- Go to Google Slides.
- Create a blank presentation.
- Go to the Extensions menu.
- Go to Add-ons and click Get add-ons .
- In the new dialog, search for SlidesAI .
- Click it and then select Install .
SlidesAI will then ask you to sign in with your Google Account. Follow the instructions and then wait for SlidesAI to finish installing.
3. Compile the Presentation With SlidesAI
With SlidesAI installed, you can now begin creating your presentation. You can do this in the same blank presentation you made in the previous step. SlidesAI will automatically add new slides and fill them with appropriate content.
- Open the Extensions menu.
- Select the presentation type and the number of slides from the right.
- Check whether you want SlidesAI to add images or a title and thank you slides.
- Check Replace Existing Slides .
- When all is set, go back to the Text tab and click Create Slides .
SlidesAI will now take the text you generated with ChatGPT and use it to automatically create the slides for your presentation. This can take a while, depending on your input.
Once the AI is done, you'll get a message saying your slides have been created. Close the SlidesAI window and check them out!
4. Add the Finishing Touches and Export the Presentation
Now you can customize the slides and add the finishing touches. Remember that AI is still prone to making mistakes, so proofread your presentation to ensure there aren't any blunders. If the main content looks good, you can then start making visual improvements like adding animations to your slides .
There's a chance that SlidesAI adds irrelevant images to some slides. In that case, you can replace the image with SlideAI's Magic Write tool. This feature considers the slide's content and suggests relevant stock photos.
- Go to SlidesAI and then select Magic Write .
- Click Recommended Images .
- Select an image.
Once your slideshow is all set, it's time to start preparing for the presentation. If you want to present on Google Slides, there's only a little left to do other than rehearse.
If you want to use Microsoft PowerPoint, you can export your Google Slides presentation as a PowerPoint slideshow. Head to File > Download and then select Microsoft PowerPoint .
Create Efficient Presentations in Minutes
Creating a presentation involves a lot of invisible work. In an ideal world, you would dedicate your precious time to researching and rehearsing, and have someone else do the labor of creating the presentation.
Well, now you know exactly how to achieve such a productive workflow. With the help of AI-powered tools like ChatGPT and SlidesAI, you can create a presentation from scratch in a matter of seconds.
You can generate presentation text with ChatGPT by providing basic information about the topic and the main points. Then feed the text to SlidesAI, sit back, and watch as AI does all the work for you. Just remember to proofread it!
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Get started with GPT for Slides
GPT for Slides is an AI assistant for Google Slides. It brings the power of ChatGPT directly into Google Slides.
Installation and setup
1 . Install the addon
Install GPT for Slides from the Google Workspace Marketplace by clicking on the "Install" button.
2 . Open the add-on
In the Extensions menu of Google Slides, click on the GPT for Slides, and then Start.
Generate entire decks.
GPT for Slides helps you generate slide decks as well as single slide content, including pictures, descriptions, and stunning layouts.
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Everybodyâs talking about ChatGPT these days, but you struggle explaining it to your middle schoolers? Fear not, weâve got you covered! This Google Slides and PowerPoint template has been created by a teacher and comes ready to use in class, with ChatGPT and its origin and functions broken down to a T. Itâs available in different languages as well, so you may not have to modify it at all. Download it for an awesome hands-on class on current technology with your students!
Features of this template
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- Designed to be used in Google Slides, Canva, and Microsoft PowerPoint
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10 Custom GPTs That Actually Make ChatGPT Better
Quick links, diagrams: show me, presentation slides, math solver, travel guide, scholar gpt, prompt professor, gym, fitness, & training assistant by rogan keel, resume by jobbright.ai.
- ChatGPT offers custom GPTs to help you perform several actions.
- Use custom GPTs to design better prompts, get gym routines, tweak your resume, and more.
- Access these custom GPTs by going to the Explore GPTs tab in ChatGPT.
ChatGPT on its own is great, but did you know that you can use custom GPTs to streamline its functionality? Custom GPTs can teach you how to code, plan trips, transcribe videos, and much, much more, and there are heaps for you to choose from.
So, here are the best custom GPTs that actually make ChatGPT a better tool for any situation.
The Diagrams: Show Me GPT plugin quickly visualizes all kinds of information in diagrams. You can use this add-on to view promotion paths at companies you want to work for, and itâs also handy if you need general flow charts (for example, we asked Diagrams: Show Me to outline the process from freelancing to running an agency).
Once youâve created an initial prototype, you can make adjustments by giving the GPT new instructions. Alternatively, you can edit the image with code instead if you know how to. You can use Diagrams: Show Me to optimize productivity with workflow diagrams for your personal and work projects.
Canva is one of the most popular platforms for designing graphics online, and several Canva apps are worth checking out to create better designs . The Canva GPT plugin helps you create all kinds of content, such as Instagram posts and logos.
When you use the Canva custom GPT, you may notice that some of the text in your visuals overlay other boxes. Fortunately, when you click on a design prototype, the GPT will redirect you to the Canva app. Here, you can make any edits you feel are necessaryâsuch as resizing text and adding new images.
If you want to level up your Canva projects, consider reading how to use Canvaâs Magic Studio for your designs .
Creating slides that are informative and engaging is crucial in workspaces and when studying. However, deciding how to lay out your slides can be challenging. The Presentation Slides GPT plugin is designed to help minimize the manual work.
You can ask Presentation Slides to outline your presentation, meaning that you can take what you like and adapt everything in your preferred presentation creator later. Besides organizing information, presentation slides can guide you in designing a layout that fits your project theme.
The Presentation Slides GPT offers advice on keeping your audiences engaged during your presentation. When youâre ready to compile everything, consider using the best tools that use AI to make presentations for you .
While some people have no problems working out mathematical equations, itâs not simple for everyone. If you struggle with numbers but want to improve your math skills, consider using the Math Solver custom GPT.
You can ask Math Solver for help with simple and complex equations. The GPT walks you through how to solve each one and explains the concept. You also get useful related questions to help you continue enhancing your skills.
Although Math Solver is good for understanding how to solve mathematical problems, you shouldnât use it to cheat on your homework or exams. In fact, there are many ways that you should not use ChatGPT as a student âsuch as relying on the program to write essays for you.
Do you have a big upcoming trip, or are you simply researching potential adventures? Consider using the Travel Guide GPT plugin to help you gather essential information and plan your itinerary.
Travel Guide is pretty good at providing an itinerary outline for you to build upon later. For example, you can use the days it gives you and then do extra research elsewhere for places to eat, where to stay, etc.
Besides planning itineraries, Travel Guide can offer budget travel tips for specific destinations. For example, we asked the Travel Guide GPT to help us visit Switzerland on a budget of 80 Swiss Francs (c. $88 per day), excluding hotels.
If youâre interested in a unique adventure, consider reading these inspiring travel blogs of adventurers who trek the world on foot .
Academic research is a strenuous process regardless of your experience, but AI tools can help you streamline the process and provide more context. Scholar GPT is one of those. With this GPT, you can upload research paper PDFs and links to receive analysis.
Scholar GPT can analyze text from reputable websites, including Google Scholar and PubMed. Besides analyzing research papers, you can also ask the tool to give you the latest news in your industry. If youâd prefer to use research websites directly, start by checking out these expert Google Scholar search tips .
If youâre new to ChatGPT or other AI tools, getting your prompts right will take some time and experimentation. But thanks to custom GPTs like Prompt Professor, you can get helpful feedback to reduce the learning curve.
Prompt Professor can review every prompt youâre planning to send and outline what you did well. For example, we received feedback that our prompt was direct and offered contextual information.
You also get tips on how to improve your prompt, which you can then make a note of in the future.
Prompt Professor can also provide tips on the golden rules of prompting. Moreover, if youâre new, you can get general advice on how to write a good prompt. If you want a headstart, there are several AI prompt generators you can also try .
Are you new to the world of coding? If so, consider trying the Code Tutor GPT plugin. Code Tutor helps users understand different coding concepts and jargon, and it can also help you become more effective with implementation and planning processes.
Code Tutor can also help users with topics they may have for homework. The GPT often asks you to provide further context for every prompt you send, which helps it give you a more accurate answer.
Walking into the gym for the first time can be incredibly daunting, especially if you know little or nothing about fitness. Creating a program is also difficult; I still vividly remember spending hours on bodybuilding forums when I first began training in 2014. Fortunately, getting the information you need is much easier these daysâand Rogan Keelâs Gym, Fitness, & Training Assistant is a helpful custom GPT for new gym-goers.
To use this GPT more effectively, make sure you give it as much information as possible. For example, I gave it my story of what my health condition was like when I first wanted to go to the gym and mentioned dietary requirements. You should also mention how many days youâd like to exercise per week. After giving the assistant all the required information, youâll get an overview of your diet and exercise regimen.
Below the overview, youâll find further details of your training plan. If you want to keep everything handy, you can also request a PDF. There are plenty of other online sources for workout programs where you can also get further help with your fitness journey.
Are you looking for a new job or to change your career? If so, youâll find several custom GPTs to help you on your searchâincluding jobbright.aiâs version. When you upload your resume, the GPT will first extract the information from what you send. Then, after confirming that everything is accurate, youâll get a feedback table with scores and comments on what you did well and could improve. Moreover, you get bulleted tips for enhancing your resume.
Besides analyzing your resume, you can also ask the GPT for jobs related to your skills. If youâre planning a career change, consider checking out these tools to help you successfully pivot .
Regardless of whether you want a new job or need to plan a big trip, ChatGPT has several custom GPTs thatâll help you achieve your desired results. The quality of your answers depends on how good your prompts are, but you can also find custom GPTs to help you in that respect. Go to Explore GPTs in ChatGPT to find these and several others.
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How to build a custom GPT: Step-by-step tutorial
There are varying opinions within the tech community regarding the role of AI. Some perceive AI as a potential threat to job security, while others recognize its immense benefits. Open AIâs ChatGPT is a tool that can improve the productivity and efficiency of any tech and non-tech professionals if used correctly â including developers.
In this rapidly changing area of the tech landscape, staying ahead or at least keeping up with the latest in AI news is crucial. For example, the November 2023 ChatGPT update brought about the emergence of custom GPTs â personalized chatbots. Weâll explore custom GPTs in this tutorial.
What are GPTs?
GPTs, or generative pre-trained transformers, are personalized versions of ChatGPT. Users can create customized chatbots that serve a specific purpose. For example, you could create specialized GPTs to learn how to play a board game, a business sales assistant, or even a sports betting guide that can analyze data.
The exciting part is that, for once, you donât need coding knowledge to successfully customize a chatbot. With the right knowledge input and GPT action specification, you can build one catered to your company or personal goals in a matter of minutes.
Some examples of existing GPTs include Canva, Diagram: Show Me, Logo Creator, and more:
This article will guide you through the process of building your GPT using the provided knowledge and Custom Actions in OpenAI. Whether you are a seasoned developer or just a tech enthusiast, you can follow along with this tutorial.
Note that only ChatGPT Plus account users can access GPTs. At the time of this writing, the ChatGPT Plus subscription plan costs $20/month.
How to build your GPT
Hereâs a summarized version of the steps weâll follow in this tutorial:
- Go to chat.openai.com and log in
- Click Explore GPTs in the sidebar
- Click Create
- Fill in the name, description, and instructions you intend to give to the GPT
- Set up a new action and provide ChatGPT with an OpenAPI Schema for further customization
- Click Save and select how you want to share your custom GPT
- Click Confirm
Letâs now dive into the specifics of utilizing GPTs.
Before you get started, you must have a ChatGPT Plus account, which you can create by clicking the Sign up button. If you have an existing account, click Log in to access your account:
Initiate the GPT creation process
Once youâve logged into your ChatGPT Plus account, you should see a chat window with a sidebar. In the sidebar, click Explore GPTs :
Then, click Create to start the process of creating a new GPT:
A split screen will appear in the GPT builder. On the left side of the split screen, youâll be able to toggle between Create and Configure . Simply fill out the prompts to construct your chatbot. Meanwhile, the Preview panel on the right lets you interact with your chatbot while itâs being built, which helps you decide how to improve it:
Set up your GPT instructions
We can set up our GPT to meet our specific needs. Letâs demonstrate this by building an example sales rep assistant for âGreentech Solutions,â an imaginary company that sells eco-friendly home appliances:
This assistant will give ChatGPT the information needed to answer questions about Greentech. Additionally, weâre creating an external API for calculations that help suggest better ways to use Greentech appliances.
Letâs pick up where we left off. In the split screenâs left side, click Configure :
Next, set your GPTâs profile picture, name, and description according to your specifications. Click the profile picture icon to set it. You can choose to set your profile picture manually or let DALL·E 3 create it for you automatically:
DALL·E 3 is an intelligent technology created by OpenAI that translates words into images. It creates an image for you based on your description of what you wish to see.
Now, letâs configure your GPT instructions, providing adequate information that ChatGPT needs to know. Ensure your instructions are as detailed as possible â they determine your GPTâs behavior. In the setup environment, ChatGPT prompts you with questions such as, âWhat does this GPT do? How does it behave? What should it avoid doing?â
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Hereâs how we set ours:
You can also choose to set Conversation starters . These are quick prompts that your GPT can easily recognize so it knows how to respond:
Another option is to provide additional knowledge and resources to your GPT. For example, you might want your chatbot to build its responses using the style guide for your business, or you might want it to read through customer persona PDFs to provide it with more context.
You can do this by uploading files under Knowledge :
Lastly, make sure you enable or disable your GPTâs Capabilities . By default, your GPT should have Web Browsing and DALL·E Image Generation enabled. This allows your chatbot to look things up online and create pictures from words:
If you want it to run code or look at data, you should also enable the Code Interpreter option.
Add actions: Optional enhancements to your GPT
Your GPT is good to go at this point. However, you may want your chatbot to perform tasks outside of ChatGPT or retrieve data from the internet. You can enable this behaviour by adding actions.
Actions in this context are further knowledge and capabilities that can enhance the productivity of your GPT. Actions allow you to instruct the chatbot on how to make use of third-party services. They also enable you to give your chatbot extra skills, almost like superpowers, allowing it to do things beyond just chatting.
Select Create new action to get started with this optional step:
Now, letâs enhance our Sales Rep Assistant GPTâs capabilities with a custom action:
We want our custom GPT to not only answer questions based on the document weâve loaded, but also handle real-world queries.
For instance, if a user is concerned about their power bill due to our services, our GPT assistant can perform calculations to address their situation effectively. This makes our assistant informative and practically useful in solving real-life issues.
To do that, we need to make our GPT communicate with a publicly accessible API that allows it to perform those functions by communicating with it via the OpenAPI specification. For ease of use, I will use Replit to write the script and publish the API .
Create a Replit account if you donât have one. Then, create a Python file called main.py and paste the following code into it:
This code is forked from Liam Ottleyâs Replit project . It creates a web application that calculates and shares information about our imaginary Greentech Solutions companyâs solar panels for homeowners.
The program figures out how many solar panels can fit on a roof, estimates how much electricity theyâll generate, and works out the costs and savings. It also tells you how long it will take the estimated savings to cover the solar panelsâ costs. People can use it by sending in their roof size and current electricity bill online.
Deploy this script on Replit or any other platform where it can be publicly accessible . You will need the URL for the next step.
Next, you have to define and customize the OpenAPI Schema according to the specifications of our GPT. Hereâs how I defined mine:
This schema outlines how the GreenTech Solutions API works. It describes a web service that offers green solutions, like calculating solar panel efficiency, costs, and savings.
The development server hosts the API, providing access to calculations tailored to specific inputs such as roof size and current electricity bills. This platform enables users to estimate potential outcomes based on their unique parameters.
Save your GPT
Hurray!! After defining the OpenAPI specification, our GPT is ready to go.
Click Save at the top right corner or Update if youâve already made your GPT and are publishing updates. Select how you want to share your GPT â Only me , Anyone with a link , or Everyone â and then click Confirm :
The ChatGPT home pageâs side panel will display ChatGPT and any custom GPTs you create. Select the GPT you wish to use, then use it as usual.
Testing the GPT
Now that the Greentech Solutions Sales Rep assistant is ready, letâs try it out. Itâs best to test it with some prompts that will enable it to communicate with the document and API specifications embedded in it. Here are the prompts I tried out and the corresponding results our GPT provided:
The above image showcases the information that our GPT got from the document we provided it. Now, letâs make it perform some calculations:
In the image above, our GPT gets information from our API endpoints and uses it to calculate a solution for our user in a real-life situation.
How to share and edit your GPT
At the top, the GPT has drop-down options where you will find the options to edit your GPT or copy the link and share it:
Note that others cannot use your GPT if you selected Only me in your sharing settings.
GPT models can also power chatbots on a companyâs website and are not restricted to being used exclusively within OpenAIâs ChatGPT interface. While we wonât cover how to do so in this tutorial, it could be a great next step for you to explore and take your custom GPT to the next level.
Final thoughts
Weâve come a long way from understanding GPTs to creating your own. This guide showed you, step by step, how to make a GPT that does exactly what you need.
Now, youâre ready to put this knowledge to work. Go ahead, experiment with your ideas, and see where they take you in the world of AI . Your custom GPT could be the next big thing, so start building and have fun with it!
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RECOMMENDED READS
- 5 Steps to Getting Started with Llama 2
- The Llama Ecosystem: Past, Present, and Future
- Introducing Code Llama, a state-of-the-art large language model for coding
- Meta and Microsoft Introduce the Next Generation of Llama
- Today, weâre introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.
- Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.
- Weâre dedicated to developing Llama 3 in a responsible way, and weâre offering various resources to help others use it responsibly as well. This includes introducing new trust and safety tools with Llama Guard 2, Code Shield, and CyberSec Eval 2.
- In the coming months, we expect to introduce new capabilities, longer context windows, additional model sizes, and enhanced performance, and weâll share the Llama 3 research paper.
- Meta AI, built with Llama 3 technology, is now one of the worldâs leading AI assistants that can boost your intelligence and lighten your loadâhelping you learn, get things done, create content, and connect to make the most out of every moment. You can try Meta AI here .
Today, weâre excited to share the first two models of the next generation of Llama, Meta Llama 3, available for broad use. This release features pretrained and instruction-fine-tuned language models with 8B and 70B parameters that can support a broad range of use cases. This next generation of Llama demonstrates state-of-the-art performance on a wide range of industry benchmarks and offers new capabilities, including improved reasoning. We believe these are the best open source models of their class, period. In support of our longstanding open approach, weâre putting Llama 3 in the hands of the community. We want to kickstart the next wave of innovation in AI across the stackâfrom applications to developer tools to evals to inference optimizations and more. We canât wait to see what you build and look forward to your feedback.
Our goals for Llama 3
With Llama 3, we set out to build the best open models that are on par with the best proprietary models available today. We wanted to address developer feedback to increase the overall helpfulness of Llama 3 and are doing so while continuing to play a leading role on responsible use and deployment of LLMs. We are embracing the open source ethos of releasing early and often to enable the community to get access to these models while they are still in development. The text-based models we are releasing today are the first in the Llama 3 collection of models. Our goal in the near future is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding.
State-of-the-art performance
Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Improvements in our post-training procedures substantially reduced false refusal rates, improved alignment, and increased diversity in model responses. We also saw greatly improved capabilities like reasoning, code generation, and instruction following making Llama 3 more steerable.
*Please see evaluation details for setting and parameters with which these evaluations are calculated.
In the development of Llama 3, we looked at model performance on standard benchmarks and also sought to optimize for performance for real-world scenarios. To this end, we developed a new high-quality human evaluation set. This evaluation set contains 1,800 prompts that cover 12 key use cases: asking for advice, brainstorming, classification, closed question answering, coding, creative writing, extraction, inhabiting a character/persona, open question answering, reasoning, rewriting, and summarization. To prevent accidental overfitting of our models on this evaluation set, even our own modeling teams do not have access to it. The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5.
Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size in real-world scenarios.
Our pretrained model also establishes a new state-of-the-art for LLM models at those scales.
To develop a great language model, we believe itâs important to innovate, scale, and optimize for simplicity. We adopted this design philosophy throughout the Llama 3 project with a focus on four key ingredients: the model architecture, the pretraining data, scaling up pretraining, and instruction fine-tuning.
Model architecture
In line with our design philosophy, we opted for a relatively standard decoder-only transformer architecture in Llama 3. Compared to Llama 2, we made several key improvements. Llama 3 uses a tokenizer with a vocabulary of 128K tokens that encodes language much more efficiently, which leads to substantially improved model performance. To improve the inference efficiency of Llama 3 models, weâve adopted grouped query attention (GQA) across both the 8B and 70B sizes. We trained the models on sequences of 8,192 tokens, using a mask to ensure self-attention does not cross document boundaries.
Training data
To train the best language model, the curation of a large, high-quality training dataset is paramount. In line with our design principles, we invested heavily in pretraining data. Llama 3 is pretrained on over 15T tokens that were all collected from publicly available sources. Our training dataset is seven times larger than that used for Llama 2, and it includes four times more code. To prepare for upcoming multilingual use cases, over 5% of the Llama 3 pretraining dataset consists of high-quality non-English data that covers over 30 languages. However, we do not expect the same level of performance in these languages as in English.
To ensure Llama 3 is trained on data of the highest quality, we developed a series of data-filtering pipelines. These pipelines include using heuristic filters, NSFW filters, semantic deduplication approaches, and text classifiers to predict data quality. We found that previous generations of Llama are surprisingly good at identifying high-quality data, hence we used Llama 2 to generate the training data for the text-quality classifiers that are powering Llama 3.
We also performed extensive experiments to evaluate the best ways of mixing data from different sources in our final pretraining dataset. These experiments enabled us to select a data mix that ensures that Llama 3 performs well across use cases including trivia questions, STEM, coding, historical knowledge, etc.
Scaling up pretraining
To effectively leverage our pretraining data in Llama 3 models, we put substantial effort into scaling up pretraining. Specifically, we have developed a series of detailed scaling laws for downstream benchmark evaluations. These scaling laws enable us to select an optimal data mix and to make informed decisions on how to best use our training compute. Importantly, scaling laws allow us to predict the performance of our largest models on key tasks (for example, code generation as evaluated on the HumanEval benchmarkâsee above) before we actually train the models. This helps us ensure strong performance of our final models across a variety of use cases and capabilities.
We made several new observations on scaling behavior during the development of Llama 3. For example, while the Chinchilla-optimal amount of training compute for an 8B parameter model corresponds to ~200B tokens, we found that model performance continues to improve even after the model is trained on two orders of magnitude more data. Both our 8B and 70B parameter models continued to improve log-linearly after we trained them on up to 15T tokens. Larger models can match the performance of these smaller models with less training compute, but smaller models are generally preferred because they are much more efficient during inference.
To train our largest Llama 3 models, we combined three types of parallelization: data parallelization, model parallelization, and pipeline parallelization. Our most efficient implementation achieves a compute utilization of over 400 TFLOPS per GPU when trained on 16K GPUs simultaneously. We performed training runs on two custom-built 24K GPU clusters . To maximize GPU uptime, we developed an advanced new training stack that automates error detection, handling, and maintenance. We also greatly improved our hardware reliability and detection mechanisms for silent data corruption, and we developed new scalable storage systems that reduce overheads of checkpointing and rollback. Those improvements resulted in an overall effective training time of more than 95%. Combined, these improvements increased the efficiency of Llama 3 training by ~three times compared to Llama 2.
Instruction fine-tuning
To fully unlock the potential of our pretrained models in chat use cases, we innovated on our approach to instruction-tuning as well. Our approach to post-training is a combination of supervised fine-tuning (SFT), rejection sampling, proximal policy optimization (PPO), and direct policy optimization (DPO). The quality of the prompts that are used in SFT and the preference rankings that are used in PPO and DPO has an outsized influence on the performance of aligned models. Some of our biggest improvements in model quality came from carefully curating this data and performing multiple rounds of quality assurance on annotations provided by human annotators.
Learning from preference rankings via PPO and DPO also greatly improved the performance of Llama 3 on reasoning and coding tasks. We found that if you ask a model a reasoning question that it struggles to answer, the model will sometimes produce the right reasoning trace: The model knows how to produce the right answer, but it does not know how to select it. Training on preference rankings enables the model to learn how to select it.
Building with Llama 3
Our vision is to enable developers to customize Llama 3 to support relevant use cases and to make it easier to adopt best practices and improve the open ecosystem. With this release, weâre providing new trust and safety tools including updated components with both Llama Guard 2 and Cybersec Eval 2, and the introduction of Code Shieldâan inference time guardrail for filtering insecure code produced by LLMs.
Weâve also co-developed Llama 3 with torchtune , the new PyTorch-native library for easily authoring, fine-tuning, and experimenting with LLMs. torchtune provides memory efficient and hackable training recipes written entirely in PyTorch. The library is integrated with popular platforms such as Hugging Face, Weights & Biases, and EleutherAI and even supports Executorch for enabling efficient inference to be run on a wide variety of mobile and edge devices. For everything from prompt engineering to using Llama 3 with LangChain we have a comprehensive getting started guide and takes you from downloading Llama 3 all the way to deployment at scale within your generative AI application.
A system-level approach to responsibility
We have designed Llama 3 models to be maximally helpful while ensuring an industry leading approach to responsibly deploying them. To achieve this, we have adopted a new, system-level approach to the responsible development and deployment of Llama. We envision Llama models as part of a broader system that puts the developer in the driverâs seat. Llama models will serve as a foundational piece of a system that developers design with their unique end goals in mind.
Instruction fine-tuning also plays a major role in ensuring the safety of our models. Our instruction-fine-tuned models have been red-teamed (tested) for safety through internal and external efforts. ââOur red teaming approach leverages human experts and automation methods to generate adversarial prompts that try to elicit problematic responses. For instance, we apply comprehensive testing to assess risks of misuse related to Chemical, Biological, Cyber Security, and other risk areas. All of these efforts are iterative and used to inform safety fine-tuning of the models being released. You can read more about our efforts in the model card .
Llama Guard models are meant to be a foundation for prompt and response safety and can easily be fine-tuned to create a new taxonomy depending on application needs. As a starting point, the new Llama Guard 2 uses the recently announced MLCommons taxonomy, in an effort to support the emergence of industry standards in this important area. Additionally, CyberSecEval 2 expands on its predecessor by adding measures of an LLMâs propensity to allow for abuse of its code interpreter, offensive cybersecurity capabilities, and susceptibility to prompt injection attacks (learn more in our technical paper ). Finally, weâre introducing Code Shield which adds support for inference-time filtering of insecure code produced by LLMs. This offers mitigation of risks around insecure code suggestions, code interpreter abuse prevention, and secure command execution.
With the speed at which the generative AI space is moving, we believe an open approach is an important way to bring the ecosystem together and mitigate these potential harms. As part of that, weâre updating our Responsible Use Guide (RUG) that provides a comprehensive guide to responsible development with LLMs. As we outlined in the RUG, we recommend that all inputs and outputs be checked and filtered in accordance with content guidelines appropriate to the application. Additionally, many cloud service providers offer content moderation APIs and other tools for responsible deployment, and we encourage developers to also consider using these options.
Deploying Llama 3 at scale
Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 3 will be everywhere .
Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. As a result, we observed that despite the model having 1B more parameters compared to Llama 2 7B, the improved tokenizer efficiency and GQA contribute to maintaining the inference efficiency on par with Llama 2 7B.
For examples of how to leverage all of these capabilities, check out Llama Recipes which contains all of our open source code that can be leveraged for everything from fine-tuning to deployment to model evaluation.
Whatâs next for Llama 3?
The Llama 3 8B and 70B models mark the beginning of what we plan to release for Llama 3. And thereâs a lot more to come.
Our largest models are over 400B parameters and, while these models are still training, our team is excited about how theyâre trending. Over the coming months, weâll release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context window, and stronger overall capabilities. We will also publish a detailed research paper once we are done training Llama 3.
To give you a sneak preview for where these models are today as they continue training, we thought we could share some snapshots of how our largest LLM model is trending. Please note that this data is based on an early checkpoint of Llama 3 that is still training and these capabilities are not supported as part of the models released today.
Weâre committed to the continued growth and development of an open AI ecosystem for releasing our models responsibly. We have long believed that openness leads to better, safer products, faster innovation, and a healthier overall market. This is good for Meta, and it is good for society. Weâre taking a community-first approach with Llama 3, and starting today, these models are available on the leading cloud, hosting, and hardware platforms with many more to come.
Try Meta Llama 3 today
Weâve integrated our latest models into Meta AI, which we believe is the worldâs leading AI assistant. Itâs now built with Llama 3 technology and itâs available in more countries across our apps.
You can use Meta AI on Facebook, Instagram, WhatsApp, Messenger, and the web to get things done, learn, create, and connect with the things that matter to you. You can read more about the Meta AI experience here .
Visit the Llama 3 website to download the models and reference the Getting Started Guide for the latest list of all available platforms.
Youâll also soon be able to test multimodal Meta AI on our Ray-Ban Meta smart glasses.
As always, we look forward to seeing all the amazing products and experiences you will build with Meta Llama 3.
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GPT For Slides
High-quality, detailed, and engaging AI-generated presentations that leave a lasting impression.
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All presentations generated on PresentationGPT work seamlessly with your favorite presentation tools, such as Microsoft PowerPoint and Google Slides. You can make any changes you want after downloading them.
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Depending on your goals, there are multiple takes on how you can use ChatGPT to make your presentations more engaging. For starters, you can use this deep learning model tool to create AI-powered presentations in the format of interactive Q&As, allowing users to ask questions and visualize the responses live.
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Check Replace Existing Slides . Go to the Themes tab and select a style. When all is set, go back to the Text tab and click Create Slides . SlidesAI will now take the text you generated with ChatGPT and use it to automatically create the slides for your presentation. This can take a while, depending on your input.
Our ChatGPT-powered platform will generate highly accurate summaries for you. Use our AI to create presentations for you. Simply upload a document and ask SlideSpeak to generate a presentation based on the content. Our AI understands the content of all documents you've uploaded. Simply ask questions, request summaries and much more.
Installation and setup. 1 . Install the addon. Install GPT for Slides from the Google Workspace Marketplace by clicking on the "Install" button. 2 . Open the add-on. In the Extensions menu of Google Slides, click on the GPT for Slides, and then Start.
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Firstly, open your PowerPoint application and create a new presentation. Then, you should find "Visual Basic Editor" in the "Tools" menu, under "Macro" submenu. Launching Visual Basic Editor. You should see a "VBAProject" window in the Visual Basic Editor. Right-click on that to insert a new Module.
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What is GPT to PPT? PresentationGPT is an AI-powered tool that simplifies the process of creating PowerPoint presentations. Leveraging the power of large language models, the latest in AI language processing technology, PresentationGPT can transform a basic outline or a few keywords into a full-fledged, visually appealing presentation.
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The Presentation Slides GPT plugin is designed to help minimize the manual work. ... To use this GPT more effectively, make sure you give it as much information as possible. For example, I gave it ...
Lastly, make sure you enable or disable your GPT's Capabilities. By default, your GPT should have Web Browsing and DALL·E Image Generation enabled. This allows your chatbot to look things up online and create pictures from words: If you want it to run code or look at data, ...
The chart below shows aggregated results of our human evaluations across of these categories and prompts against Claude Sonnet, Mistral Medium, and GPT-3.5. Preference rankings by human annotators based on this evaluation set highlight the strong performance of our 70B instruction-following model compared to competing models of comparable size ...
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