Tool learning

Creator

Creator

Seonglae Cho

Created

Created

2024 Apr 11 16:55

Editor

Editor

Seonglae Cho

Edited

Edited

2025 Mar 17 1:4

Refs

Refs

Function Calling, Tool Calling, AI Tooling

Considering from the training stage, there are fewer hallucinations but less robustness.

Tool learning Notion

Tool learning Dataset

Tool learning Models

Tool Generalization

Tool learning Benchmarks

AI Extensions

AI Search Extension

Mastery Dividend Period and..

Rather than mastering one tool as before, it is important to quickly learn and adapt to new tools.

Rather than mastering one tool as before, it is important to quickly learn and adapt to new tools.

We’ve crossed a threshold where the metagame has fundamentally changed. Mastery of tools no longer pays dividends for the rest of our lifetime—we’re lucky if a new AI tool stays relevant for 12 months! It’s incredibly disorienting when the “sharpen the axe” strategy that worked for thousands of years suddenly stops working.

Berkeley Function-Calling Leaderboard (
Gorilla LLM )

Berkeley Function Calling Leaderboard V2 Live(aka Berkeley Tool Calling Leaderboard V2 Live)

Explore The Berkeley Function Calling Leaderboard (also called The Berkeley Tool Calling Leaderboard) to see the LLM's ability to call functions (aka tools) accurately.

Berkeley Function Calling Leaderboard V2 Live(aka Berkeley Tool Calling Leaderboard V2 Live)

https://gorilla.cs.berkeley.edu/leaderboard_live.html

Tool Calling with LangChain

TLDR: We are introducing a new tool_calls attribute on AIMessage. More and more LLM providers are exposing API’s for reliable tool calling. The goal with the new attribute is to provide a standard interface for interacting with tool invocations. This is fully backwards compatible and is supported on

Tool Calling with LangChain

https://blog.langchain.dev/tool-calling-with-langchain/

Tool Calling with LangChain

https://arxiv.org/pdf/2402.04253.pdf

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