EP48: Llama3 Confirmed, Elevenlabs Voice Dubbing, Prompt Compression, Does RAG Make ChatGPT Worse?
Jan 25, 2024
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This podcast touches on interesting topics such as Mark Zuckerberg confirming Llama 3, testing Elevenlabs Voice Dubbing, the state of AI apps and subscriptions, practical use cases of AI in our world, the impact of RAG on ChatGPT, prompt compression with LongLLMLingua, and experiments with new image models including PhotoMaker. Plus, some humorous moments to wrap up the show.
Mark Zuckerberg confirmed the training of Lama 3, indicating Meta's strong AI investment and open sourcing of technologies.
11 Labs introduced AI dubbing and video translation technology with wide availability, presenting opportunities for multilingual video production.
The podcast discusses the future of AI apps and subscriptions, focusing on the integration of AI into existing applications and the potential for streamlined automation.
Deep dives
Mark Zuckerberg confirms Lama 3 in development
Mark Zuckerberg announced that Lama 3 is currently being trained and Meta is fully invested in AI and the Metaverse. The company is open sourcing Meta's technologies, including Lama 3, which is expected to have a significant impact on AI organizations and the overall scale of AI models.
11 Labs releases AI dubbing and video translation
11 Labs unveiled the wide availability of their AI dubbing and video translation technology, which allows users to translate videos into 29 different languages. The technology features a user-friendly editing interface and is applicable to various platforms like YouTube, TikTok, and Twitter. While longer videos may require a subscription and cost credits, the technology showcases great potential for content creators and provides an exciting opportunity for multilingual video production.
Discussion on the future of AI apps and subscriptions
The podcast episode delved into the future of AI apps and subscriptions, highlighting the value of products that combine machine learning models with user-friendly app interfaces. It was debated whether standalone AI tools will remain independent or if consolidation into larger tech companies is inevitable. The potential for AI integration into existing applications and the increased efficiency it would bring was also discussed, suggesting that products that streamline and automate AI tasks may gain wider adoption.
Importance of Prompt Structure and Context in AI models
In this podcast episode, the hosts discuss the importance of prompt structure and context in AI models. They highlight the attention problem, where AI struggles to differentiate between important instructions and irrelevant data. To address this, the hosts propose techniques like providing clear and emphasized instructions or compressing the context documents based on relevance. They also mention new models like LLM lingua and long LLM, developed by Microsoft, that effectively compress prompts and improve attention by focusing on relevant context. These advancements could lead to faster and more efficient AI models.
Challenges and Potential of AI Avatars in Virtual Worlds
The podcast also explores the potential of AI avatars in virtual worlds and their use in various scenarios. They discuss the concept of cloning personalities of YouTubers or deceased individuals to create virtual companions. This includes replicating their voice, image, and memories, which can create a personalized and immersive experience. The hosts highlight the growing capabilities of voice and image cloning, as well as advancements in augmented reality. However, they also raise concerns about addiction and the impact of virtual companions on real-life interactions. Overall, AI avatars and virtual companions have the potential to revolutionize personal interactions and offer new possibilities in the metaverse.
Thanks for listening, we appreciate your support of the podcast.
This week we discuss Mark Zuckerberg confirming Llama 3, road test Elevenlabs Voice Dubbing, the state of AI apps and subscriptions, practical use cases of AI interacting with our world, does RAG make ChatGPT worse? Prompt compression with LongLLMLingua and how it might solve the attention problem, experiments with new image models including PhotoMaker and some LOLs to end the show.
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CHAPTERS ====== 00:00 - Mark Zuckerberg Confirmed Llama 2 In Training 03:39 - Elevenlabs Voice Dubbing Service Tested 09:28 - Discussion on Research Labs, Apps & Future of AI App Business Models 18:43 - Bland.ai Update with Real World Examples & The Future of AI Agents & Agency interacting with our "analogue world" 30:56 - Nick Dobos Says RAG Makes ChatGPT Worse. Can Compression Help? 35:32 - LongLLMLingua and Prompt Compression 46:45 - Image Models: Photo Maker & Experiments with Image Generation 1:01:45 - LOLs including Rabbit r1 Fail, Claude Multi-Modal Leak, DPD Chat
