The new audio system VALL-E can duplicate a voice using a 3-second recording, expanding AI voice imitation limits. Meanwhile, Drag Your Gan applies StyleGAN2 tech for interactive and precise image editing.
GENERATIVE AI
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LangChain RAG Overview: Basics and Advanced Topics
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RAG Overview If you've been looking for a good overview of LangChain + RAG, then you're in luck! @sophiamyang recently released a FANTASTIC presentation on exactly that. Covers both the basics as well as more advanced topics Presentation: https://
sophiamyang.github.io/slides-langcha
in-rag-panel/
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Deepfakes and AI: Distinguishing Truth from Deception
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Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants. pic.twitter.com/DPSVgDh0BZ
— Rafik Smati (@RafikSmati) 28 octobre 2023Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants.
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Building RAG from Scratch for Your AI Product
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"Why your next AI product needs RAG implemented in it" There are a LOT of different options for RAG But sometimes it's best to go back to the basics and build RAG from scratch @Avra_b wrote a fantastic article on why RAG is needed and how to get started, including a GitHub
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Open Source AI Platforms: Efficiency and Customization Benefits
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Open source AI platforms aren't just cheaper.
They are more efficient and more customizable. -
Multimodal AI: Architectural Challenges Beyond Text Generation
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Everyone is working on multimodal systems.
The question is how to do it.
And the problem is that the kind of generative architecture that works for text does not work for images and video. -
Understanding RAG Dynamics: Retrieval Augmented Generation Explained
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Watch this insightful video to learn more about the dynamics of RAG, Retrieval Augmented Generation: https://
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RAG systems reduce AI hallucinations and improve knowledge quality
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The system lowers hallucination risks and offers frequent knowledge base updates. Using RAG in AI tools can boost information quality.
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Why Current Auto-Regressive LLMs Will Remain Fundamentally Limited
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One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely -
Autoregressive LLMs limitations: knowledge without intelligence
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One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely