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    EP 261: GPT2-chatbot - a new version of ChatGPT? (Large Language Mystery explained)

    en-usApril 30, 2024

    Podcast Summary

    • New GPT 2 chatbot model and Google's Med Gemini medical large language modelGoogle introduces Med Gemini, a new medical large language model for more accurate multimodal conversations in healthcare. Apple expands AI team and resources, focusing on deploying generative AI on next mobile device.

      There's a new mystery GPT 2 chatbot model out that's generating buzz in the AI community, but its exact nature and capabilities are unclear. While we wait for more information, Google has recently unveiled Med Gemini, a new medical large language model, which promises more accurate multimodal conversations regarding medical images and other healthcare-related tasks. Apple, on the other hand, is reportedly expanding its AI team and resources, poaching experts from Google and establishing a secretive European laboratory, with a focus on deploying generative AI on its next mobile device. These developments underscore the growing importance and potential of AI in various industries, particularly healthcare and technology. Stay tuned for more updates and insights on everyday AI.

    • Apple's next iPhone and iOS rumors involve AI partnershipsApple may collaborate with Google's Gemini or OpenAI for AI features in future iPhone and iOS releases, while Drake faced legal repercussions for using AI-generated Tupac voice without permission.

      There are ongoing rumors about Apple potentially partnering with Google's AI project, Gemini, or OpenAI for their next iPhone and iOS. Meanwhile, Drake faced legal consequences for releasing an AI-generated song featuring the late Tupac Shakur's voice without permission. The AI-generated track, "Taylor Made," was surprisingly realistic, but Drake had previously criticized such deepfakes and even taken legal action against unauthorized use of his own voice. The new GPT 2 chatbot model has been making waves in the tech world, but it can only be found in the chatbot arena, and using it has been a crowded experience due to the hype surrounding it being the next version of ChatGPT. The model's availability on the LMSYS chatbot arena allows users to benchmark large language models and experiment with various models. Despite the excitement, it's important to remember that this new model is not officially released on ChatGPT yet. Additionally, I had a root canal recently, which might explain any oddities in my speech or appearance during the livestream.

    • New chatbot model, GPT2dashchatbot, for comparison on chatbot arena platformUsers can compare responses from two large language models side-by-side, vote, and use Elo scores for performance evaluation. However, the models are slower and origin is unknown.

      There's a new chatbot model, GPT2dashchatbot, currently available for use on the chatbot arena platform. This model, whose origin is uncertain, allows users to compare responses from two different large language models side by side and vote on which one is better. The platform uses Elo scores, similar to chess rankings, to determine the performance of each model. The downside is that the models are slower on this platform compared to their original platforms, likely to keep it free for users. Despite its strong performance, the model is not yet showing up on the leaderboard rankings, which is unusual for new models. It's important to note that the origin and authorization of this model are unknown, and it's not available for download. Overall, this new chatbot model offers an interesting way for users to compare and evaluate different language models directly.

    • New Model GPT 5: Rumors and UncertaintiesRumored new model GPT 5's existence and capabilities are uncertain, with some speculating it's a highly fine-tuned version of GPT 2 or a new model with advanced capabilities. Official information is lacking, leading to skepticism and the importance of verifying rumors with reputable sources.

      There's been a lot of buzz around a new model called GPT 5 on social media platforms like Twitter and Reddit, but its existence and capabilities are uncertain. The model appears to be live in the chatbot arena, which is unusual for a rumored model, but its parameters, training method, and availability are unknown. OpenAI CEO Sam Altman acknowledged its existence in a tweet, but it's unclear if it's a fine-tuned version of an older model or something new. The lack of official release notes and the absence of the model on open repositories add to the uncertainty. Some believe it could be a highly fine-tuned version of the original GPT 2, which was released in 2019 and had 1.5 billion parameters. Others speculate it could be a new model with advanced capabilities. Regardless, the naming convention without a dash in the name, as in GPT 2, has led some to wonder if it's a refined version of the older model. The importance of this takeaway lies in the potential implications for the field of AI and the impact on users who may be expecting new features or capabilities from the model. It's a reminder that rumors should be taken with a grain of salt and that official information from reputable sources is crucial for understanding the true capabilities and implications of new technologies.

    • New smaller, more capable generative AI models from Microsoft and MetaMicrosoft and Meta release smaller AI models with local processing, offering sustainable solutions and new possibilities for large language models, while larger models like GPT-4 Turbo have high compute requirements and significant environmental impact.

      The recent release of smaller, more capable generative AI models from Microsoft and Meta, with only a couple billion parameters each, is changing the game in the generative AI space. These models, unlike the larger ones, can be run locally, which opens up new possibilities for what we can do with large language models. The downside of the very large models, such as OpenAI's GPT-4 Turbo with reportedly 1.8 trillion parameters, is their high compute requirements, which lead to significant energy consumption and environmental impact. The new models from Microsoft and Meta offer a more sustainable solution, and their capabilities are causing excitement in the tech community. However, there is some confusion about the naming of the new Microsoft model, as it has been released without a dash in its name, unlike previous versions. Despite some limitations, such as a limit on the number of chats and occasional downtime, the new model is generating a lot of interest, and we will provide links to it in our newsletter. Overall, the shift towards smaller, more capable models represents an important development in the field of generative AI, and it will be interesting to see how it unfolds in the coming weeks and months.

    • New Chatbot Claimed to be GPT 2 with Uncertain AuthenticityA new chatbot called GPT 2 with uncertain authenticity claimed a knowledge cutoff of November 2023 and was built on OpenAI's GPT 4 architecture, but the accuracy of these statements is questionable.

      A new chatbot identified as GPT 2, claimed to have a knowledge cutoff of November 2023, potentially indicating it's a newer and recent model from OpenAI. However, the authenticity of this model is uncertain as it could be a leak or a fine-tuned version of an older model. The chatbot also claimed to be built on OpenAI's GPT 4 architecture, but the accuracy of this statement is questionable. It's important to remember that models, even advanced ones, don't always provide accurate information when asked about themselves. Additionally, there have been speculations that this model could be GPT 4.5 or GPT 5 based on leaked system prompts. Overall, the authenticity and capabilities of this new chatbot need further investigation.

    • New GPT chatbot outperforms previous models in problem-solving and generating agent-like responsesThe new GPT chatbot exhibits superior problem-solving abilities and generates agent-like responses, outperforming previous models like GPT 4 Turbo, Claude 3 Opus, and Google's Gemini 1.5.

      The new version of the GPT chatbot, which might be an early version of GPT 4.5 or even GPT 5, has shown impressive problem-solving abilities and superiority in generating niche recommendations and solving intricate geometric problems without code interpreters. It also demonstrated an ability to think like an agent, breaking down complex tasks into steps and generating solutions. These are crucial advancements as the future of large language models lies in their ability to act as agents, completing tasks and working together. The technical origins of this new model are unclear, but its impressive performance is a potential indication of significant advancements in AI technology. The new model outperformed some of the most capable models like GPT 4 Turbo, Claude 3 Opus, and Google's Gemini 1.5, in handling complex tasks and generating agent-like responses. These advancements could potentially impact various industries and change the way the world operates.

    • New chatbot model's connection to OpenAI unclearThe origins of a new text-based chatbot model are uncertain, with potential ties to OpenAI and the GPT framework due to legal issues and naming confusion

      While a new chatbot model is making waves online, its connection to OpenAI and the GPT framework is unclear due to legal issues surrounding the GPT trademark. The model, which is multimodal in capability but currently text-based in use, could potentially be a smaller version of a larger model like GPT 4 or even an unauthorized release. Its responses consistently attribute itself to OpenAI and the GPT family, but this may not necessarily be an accurate representation of its true origins. The model's size, which is much smaller than what one might expect for a leak or authorized release from OpenAI, adds to the intrigue. While it's uncertain whether this model is indeed GPT 4.5 or even GPT 5, it's important to remember that the GPT name is not currently trademarked, allowing for potential confusion in naming. The debate around this model's origins will likely continue as more information comes to light.

    • New GPT 2 chatbot: A more affordable and lightweight version from OpenAIThe new GPT 2 chatbot is a more affordable and lightweight version from OpenAI, potentially replacing the current free ChatGPT or serving as a stepping stone for future advancements.

      The new GPT 2 chatbot, which has been recently released, might be considered a "lite" or entry-level version of a future, more advanced model from OpenAI. The speaker, who has extensive experience with GPT technology, believes that this model shares similarities with Apple's iPhone SE, which was an updated version of an older model that was more affordable and lightweight. The speaker also suggests that this model could potentially be the eventual free replacement for the current free version of ChatGPT, or it could be OpenAI's answer to smaller, more affordable models from competitors like PHY 3, Meta's Llama 3, or Google's Gemma. Overall, the speaker's analysis indicates that this new model might not be the most advanced or capable version from OpenAI, but it could still offer valuable capabilities and potentially pave the way for future advancements.

    • Potential use of iPhone SE for edge AI and generative AI sessions giveawayThe iPhone SE may become a budget device for edge AI and could also serve as a local language model for generative AI on iPhones and Macs. Sign up for Everyday AI newsletter for a chance to win 90-minute generative AI strategy sessions.

      The iPhone SE could potentially serve as a budget version of future iPhones when it comes to running edge AI on device, or it could even be the next large language model for local use on iPhones and Macs. This is based on recent rumors and speculations. Additionally, Everyday AI announced in their newsletter that they will be giving away two 90-minute generative AI strategy sessions, which are typically charged a few hundred dollars, to two lucky subscribers. These sessions can help companies figure out how to implement generative AI. Make sure to sign up for the newsletter to participate.

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    EP 277: How Nonprofits Can Benefit From Responsible AI

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    34:16 Daily exposure to new tech terms essential.

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    EP 276: AI News That Matters - May 20th, 2024

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    OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft?  Here's this week's AI News That Matters!

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    3. Microsoft's Upcoming Developer Conference
    4. Apple's Future AI Implementation

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    14:48 Google announced live smart assistance, leveraging AI.
    18:19 Customize data/files, tap into APIs, virtual teammate.
    21:06 Impressed by Google's new products and features.
    26:33 Apple to use OpenAI for generative AI.
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    32:22 Concerns about OpenAI employees leaving is significant.
    34:20 Google and Microsoft announce AI developments, drama at OpenAI.

    Keywords:
    Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

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    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    Send Everyday AI and Jordan a text message

    If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it. 

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barak questions on ChatGPT

    Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
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    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

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    Related Episodes

    Build GPT-automated customer support with Azure Communication Services

    Build GPT-automated customer support with Azure Communication Services

    Combine Azure Communication Services, the same platform that runs Microsoft Teams, with the Azure OpenAI service for generative AI using GPT. Automate and transform your customer service interactions with faster and informed human-like responses, whether text-based through BOTs or through integrated voice channels. Provide a seamless escalation path for agents, with the context and precise information they need to rapidly and effectively respond to escalations.

    Bob Serr, Azure Communication Services VP, joins Jeremy Chapman to share how to build GPT-automated customer support with Azure Communication Services.

    ► QUICK LINKS:

    00:00 - Combine Azure AI and Azure Communication Services

    01:02 - What is Azure Communication Services?

    02:20 - Developer advantages

    03:22 - Demo- customer experience

    06:32 - Demo- technician experience

    08:16 - See how it works behind the scenes

    10:00 - How to get it up and running

    12:18 - Wrap up

    ► Link References

    Get core services up and running at https://aka.ms/ACSAIsampleapp

    For more information, check out https://aka.ms/ACSdocs

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    The Main Scoop, Episode 11: When Generative AI Takes Over Healthcare and the World

    The Main Scoop, Episode 11: When Generative AI Takes Over Healthcare and the World

    It’s been said that 40% of all businesses will die in the next 10 years… if they don’t figure out how to change their entire company to accommodate new technologies. Large language models are driving the next generation of AI with predictions of massive industry disruption. But like any new technology, this new class of generative AI is raising issues of trust along with the need for more data types–especially in highly regulated industries like healthcare. Join Greg and Daniel as they host Dr. Andreea Bodnari from UnitedHealth Group to explore the pervasive use of generative AI across the healthcare ecosystem, and possible impacts across other industries.

    It was a great conversation and one you don’t want to miss. Like what you’ve heard? Check out Episode One of The Main Scoop, Episode Two of the Main ScoopEpisode Three of The Main ScoopEpisode Four of The Main ScoopEpisode Five of The Main Scoop,  Episode Six of The Main ScoopEpisode Seven of The Main ScoopEpisode Eight of The Main Scoop, Episode Nine of The Main Scoop, and Episode Ten of The Main Scoop, and be sure to subscribe to never miss an episode of The Main Scoop series.

    EP 266: Stop making these 7 Large Language Model mistakes. Best practices for ChatGPT, Gemini, Claude and others

    EP 266: Stop making these 7 Large Language Model mistakes. Best practices for ChatGPT, Gemini, Claude and others

    Send Everyday AI and Jordan a text message

    In today's episode, we're diving into the 7 most common mistakes people make while using large language models like ChatGPT. 

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:
    Ep 260: A new SORA competitor, NVIDIA’s $700M acquisition – AI News That Matters
    Ep 181: New York Times vs. OpenAI – The huge AI implications no one is talking about
    Ep 258: Will AI Take Our Jobs? Our answer might surprise you.

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    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:
    1. Understanding the Evolution of Large Language Models

    2. Connectivity: A Major Player in Model Accuracy

    3. The Generative Nature of Large Language Models

    4. Perfecting the Art of Prompt Engineering

    5. The Seven Roadblocks in the Effective Use of Large Language Models

    6. Authenticity Assurance in Large Language Model Usage

    7. The Future of Large Language Models


    Timestamps:
    00:00 ChatGPT.com now the focal point for OpenAI.

    04:58 Microsoft developing large in-house AI model.

    09:07 Models trained with fresh, quality data crucial.

    10:30 Daily use of large language models poses risks.

    14:59 Free chat GPT has outdated knowledge cutoff.

    18:20 Microsoft is the largest by market cap.

    21:52 Ensure thorough investigation; models have context limitations.

    26:01 Spread, repeat, and earn with simple actions.

    29:21 Tokenization, models use context, generative large language models.

    33:07 More input means better output, mathematically proven.

    36:13 Large language models are essential for business survival.

    38:53 Future work: leverage language models, prompt constantly.

    40:47 Please rate, share, check out youreverydayai.com.


    Keywords:
    Large language models, training data, outdated information, knowledge cutoffs, OpenAI's GPT 4, Anthropics Claude Opus, Google's Gemini, free version of Chat GPT, Internet connectivity, generative AI, varying responses, Jordan Wilson, prompt engineering, copy and paste prompts, zero shot prompting, few shot prompting, Microsoft Copilot, Apple's AI chips, OpenAI's search engine, GPT-2 chatbot model, Microsoft's MAI 1, common mistakes with large language models, offline vs online GPT, Google Gemini's outdated information, memory management, context window, unreliable screenshots, public URL verificat

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    Large Language Models

    Large Language Models
    Large Language Models verändern grundlegend, wie wir an natürliche Sprachverarbeitung herangehen. Sie bieten neue Möglichkeiten für Unternehmen aller Branchen und sind ein technologischer „alle zehn Jahre”-Durchbruch. Neben komfortablem API-Zugriff stehen alternativ zahlreiche Open-Source-Modelle bereit, die lokal und on-premise einsetzbar sind. Lohnt sich ein eigenes Modell zu trainieren also nicht mehr? Welche Chancen und Risiken ergeben sich aus diesem Durchbruch? Darüber sprechen Stefan und Marcel (neunetz.com) in dieser Folge.