Why do they even have a crawler Claude with a search would be cool
LLMS
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DeepMind Builds on LeanDojo for AI-Powered Theorem Proving
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I am thrilled to see @GoogleDeepMind build on our work in several instances to strengthen contributions to AI+Science and Math: 1. More than a year ago, we released the first open-source framework, https://
leandojo.org, using Lean+LLM for theorem proving and an AI Lean -
OpenAI’s SearchGPT vs Perplexity AI
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OpenAI introduced SearchGPT.
— God of Prompt (@godofprompt) 26 juillet 2024
It's like Perplexity AI but more powerful.
Here's everything you need to know a minute: pic.twitter.com/LNGs0n8CwOOpenAI introduced SearchGPT. It's like Perplexity AI but more powerful. Here's everything you need to know a minute:
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Human bias affects model’s count of R’s in strawberry
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I’m just guessing this is the reason but the modal answer from all human statements about the count of R’s in “strawberry” might actually be 2. So it does it because we do.
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ChatGPT Classic gives 3 different R counts for ‘strrrraaawwberrrrrrry’
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I asked ChatGPT Classic 3 times and it said 9, 10, and 11. Prompt: How many R’s are in “strrrraaawwberrrrrrry”?
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Suspicion about poor generalization on very hard words like strawberry
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I suspect this might not generalize to very hard words like “strrrraaawwberrrrrrry” etc.
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Counting R’s in ‘strawberry’ with chain-of-thought as LLM psychology
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There’s no reason to do this except as an exercise in LLM psychology, but here’s how you could count how many R’s are in “strawberry” using chain-of-thought. (Normally, letter- or count-based tasks like this would be handled outside the LLM, by having it call an API or REPL.)
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Patterns for Building LLM-based Systems and Products
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Patterns for Building LLM-based Systems & Products https://
bit.ly/45CdmrF
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
LLM Tokenization Explained Through Emoji Translation
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To help explain the weirdness of LLM Tokenization I thought it could be amusing to translate every token to a unique emoji. This is a lot closer to truth – each token is basically its own little hieroglyph and the LLM has to learn (from scratch) what it all means based on
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Sparse-IFT Transformations Presented at ICML 2024
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Highlights from #ICML 2024 ICML 2024 has been incredible! We've enjoyed insightful discussions and the opportunity to connect with AI researchers and practitioners. We're proud to present the following papers at ICML 2024: "Sparse-IFT: Sparse Iso-FLOP Transformations