It’s actually quite incredible to be alive at this moment. It’s hard to fully absorb the enormity of this transition. Despite the incredible impact of AI recently, the world is still struggling to appreciate how big a deal its arrival really is. We are in the process of seeing a
RESEARCH
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AI Revolution: Practical Solutions and Expert Learning at GTC24
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Calling all students – Discover practical solutions for real-world problem solving with a wide variety of AI tools and resources. Gain insights, learn from experts, and connect with like-minded peers. Join the AI revolution at #GTC24. Register now: https://
nvda.ws/3UDZaw3 -
Security versus Information Theory: Different Language, Same Concept
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i think it just depends on the language of your field; security people call this an "attack"; information theory people might just call this "decoding"
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Multilingual Text Embedding Inversion Attacks on Language Models
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just read a cool follow-up to vec2text: "Text Embedding Inversion Attacks on Multilingual Language Models" these folks extend embedding inversion to the *multilingual* setting, where we might not know the language of the encoded text ahead of time they add a
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Co-Designing Model Architectures with Hardware
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The Case for Co-Designing Model Architectures with Hardware Anthony et al.: https://
arxiv.org/abs/2401.14489 #ArtificialIntelligence #DeepLearning #MachineLearning -
GitHub Copilot Chat improves code quality across the board
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Research: Quantifying GitHub Copilot’s impact on code quality bit.ly/49dq81g Our research found that the quality of the code authored and reviewed was better across the board with GitHub Copilot Chat enabled
→ View original post on X — @marktabnet, 2024-01-31 15:07 UTC
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Neuralink brain chip, Bard video summaries, Tencent LLM advances
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Top stories in AI today: -Neuralink places first brain chip implant in human
-Yelp launches new AI features
-Summarize a YouTube video or podcast using Bard
-Tencent details multimodal LLM advances
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/neuralinks-t
elepathic-human-milestone
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AI LLM Retrieval Evaluation with LlamaIndex
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Link to blog: https://
srk.ai/blog/004-ai-ll
m-retrieval-eval-llamaindex
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RAG Encoder and Reranker Evaluation with Open-Source Models
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Inspired by @ravithejads
, wrote a simple blog post on "RAG – Encoder and Reranker evaluation" using @llama_index on a custom QA dataset. Used open-source embeddings and re-rankers for the evaluation
"JinaAI-base" embedding with "bge-reranker-large" gave the best result among -
RAG and expert AI orchestration
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Even simpler! 🙂 It's based on RAG (Retrieval-Augmented Generation) and an orchestration system we built that calls multiple small expert AIs, each specialized in their own domain. 🙂 A bit like the analogy OpenAI published a few months ago. 🙂