Delve into the AI life cycle, the critical role of model and data development, and the need for AI applications to adapt to changing data and needs. This 2022 discussion provides timeless insights that can help guide your strategy. https://
youtube.com/watch?v=bSnRcn
ke9HI
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RESEARCH
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AI Lifecycle: Model Development and Data Adaptation Strategy
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Stanford AI Index 2024 Report: New Trends Unveiled
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What’s new and trending across the AI landscape? Find out on April 15 when @StanfordHAI publishes the #AIIndex2024 Report. Sign up for our newsletter to receive a copy: https://
bit.ly/3TJW0oc -
Synthetic Data Pre-caching Issues in ML Architecture
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i think it is a data issue, since synthetic data induces pre-caching with the same arch
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AI is a marketing term not technical terminology
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"AI" is whatever people call "AI". It's a marketing term, not a technical term of art.
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Dana-Farber Tests GPT-4 in Medicine, Finds Falsehoods and Costs
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Dana-Farber Cancer Institute finds main GPT-4 concerns include falsehoods, high costs The renowned medical institute trialed letting 12,500 staff members use a private instance of GPT-4, a first-of-its-kind implementation in medicine. https://
zdnet.com/article/dana-f
arber-cancer-institute-finds-main-gpt-4-concerns-include-falsehoods-high-costs/
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Is AI becoming sentient? Examining predictive models and reasoning
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Is AI close to being sentient? How can a model that "predicts" the next phrase have such complex reasoning capabilities. What do you think?
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Activation Trade-offs: Current vs Future Token Optimization
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I guess there is a tradeoff between how each activation is used, whether it is doing something that's optimal for a current or future token. i'm using information and store both pretty loosely. 🙂
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Adaptive RAG Implementation with Cohere Command-R+
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Adaptive RAG w/ Cohere's new Command-R+ Adaptive-RAG (
@SoyeongJeong97 et al) is a recent paper that combines (1) query analysis and (2) iterative answer construction to seamlessly handle queries of differing complexity. We took at stab at implementing these ideas from scratch -
Transformers Token Processing: Information Storage Nuances
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yes! there is a lot of nuance. My preferred way to put it is "transformers don't pre-store information for future tokens at the expense of the current token" (very much)
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Ambassador Rice and Kratsios Join Stanford HAI as Distinguished Fellows
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Just announced: @AmbassadorRice and @MichaelKratsios have joined @StanfordHAI as Distinguished Visiting Fellows. They will contribute to HAI’s research efforts, exploring AI's global implications and understanding the fundamentals of human-centered AI.