Summary of Small Llms Are Weak Tool Learners: a Multi-llm Agent, by Weizhou Shen et al.
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
by Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang
First submitted to arxiv on: 14 Jan 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Large Language Model (LLM) framework is a novel approach to empower standalone LLMs to interact with external tools and complete various tasks. The framework decomposes capabilities into planner, caller, and summarizer, each implemented by a single LLM focusing on a specific capability. This modular design facilitates individual updates and the potential use of smaller LLMs for building each capability. The framework is trained using a two-stage training paradigm, which first fine-tunes a backbone LLM and then instantiates each component separately. The proposed framework outperforms traditional single-LLM approaches across various tool-use benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new way to make language models work better with other tools. Right now, these models can only do things on their own, but they need to be able to talk to other tools and get things done. To fix this, the researchers came up with an idea to break down the model’s abilities into three parts: planning, calling a tool, and summarizing results. Each part is handled by its own little language model that works together with the others. This new approach lets each part be updated separately and makes it possible to use smaller models for specific tasks. The researchers tested this new framework and found that it does better than just using one big model. |
Keywords
» Artificial intelligence » Language model » Large language model
