zjunlp/AutoAct
[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
This project helps create a specialized AI assistant that can answer complex questions by automatically learning to use specific tools, without needing extensive human-labeled examples. It takes a small set of example questions and a library of available tools as input, and outputs a refined AI agent capable of breaking down questions, selecting the right tools, and reflecting on its answers. This is ideal for organizations that need a cost-effective way to deploy tailored AI question-answering systems.
235 stars. No commits in the last 6 months.
Use this if you need to build a specialized AI question-answering agent that can effectively use external tools, but you want to minimize the manual effort and cost associated with training data.
Not ideal if you need a general-purpose conversational AI without tool integration, or if you already have extensive human-annotated datasets for your specific task.
Stars
235
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 13, 2025
Commits (30d)
0
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