LLMS

LLM-Weighted Function Selection for Advanced AI Systems

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26 September 2024 23h23

Log every function call, store success/error, rate result with LLM, use that to add weights to functions, use weights when calling functions. Advanced methods might include embedding user input and somehow calculate a weight specific to the embedding (is this the right tool for

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ReACT Paper Defined LLM Agents Era with LangChain

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@latentspacepod

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26 September 2024 23h04

Our guest cohost @hwchase17 on How the ReACT paper defined the dawn of the LLM agents era

(and inspired @LangChainAI)

next on the pod with @ShunyuYao12! pic.twitter.com/MbHSKj6DrX
— Latent.Space (@latentspacepod) 26 septembre 2024

Our guest cohost @hwchase17 on How the ReACT paper defined the dawn of the LLM agents era (and inspired @langchain
) next on the pod with @ShunyuYao12
!

AI Code Generation Framework Capabilities and Limitations

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26 September 2024 22h38

Oh it doesn’t yet. The code it generates sucks. But the framework does the heavy lifting.

Claude Sonnet 3.5 Outperforms GPT-3.5 in AI Model Comparison

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26 September 2024 22h34

gpt3.5, forgot I need to clarify. sonnet 3.5 rocks

Developer upgrading AI model framework using LiteLLM

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26 September 2024 22h23

I am weirdly using 3.5 as I work on the framework, and plan on upgrading the model once framework is solid as a fun surprise for myself (using LiteLLM so easy to swap)

Dynamic Function Generation for AI Query Processing

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26 September 2024 22h15

Level 2: Need-based When a user submits a query, the AI first decides if an existing function works, and if not, will generate a new reusable function, generate parameters based on the original user input, and execute the new function to handle the query.