Summary of Tool-planner: Task Planning with Clusters Across Multiple Tools, by Yanming Liu et al.
Tool-Planner: Task Planning with Clusters across Multiple Tools
by Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du
First submitted to arxiv on: 6 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Robotics (cs.RO)
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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 Tool-Planner framework enables large language models to tackle complex tasks by formulating plans and executing tools. This approach addresses the challenges of redundant error correction and designing correct plans among multiple tools. By grouping tools into toolkits based on API functions, Tool-Planner allows LLMs to reselect and adjust tools when errors occur. The method demonstrates high pass and win rates across different datasets and optimizes the planning scheme for tool learning in models like GPT-4 and Claude 3. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Tool-Planner is a new way for computers to work together more efficiently. It helps big language models figure out how to do hard tasks by making plans and using tools. This makes it better at solving problems that are too hard for it to do alone. The model groups similar tools together so it can pick the right one if something goes wrong. |
Keywords
» Artificial intelligence » Claude » Gpt
