This is a Plain English Papers summary of a research paper called Standard AI Tool Search Falls Short: New Study Shows 43% Performance Gap in Finding Right Tools. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Current retrieval models fail at tool retrieval for Large Language Models (LLMs)
- Standard embedding models underperform in tool retrieval by up to 43%
- New benchmark dataset (ToolBench 2.0) created with 1,000 API tools and 1,000 queries
- Research identifies crucial mismatch between retrieval models and tool retrieval needs
- Proposed solutions include adding task instructions and exploiting LLM tool understanding
Plain English Explanation
When you ask an AI assistant to help you book a flight or check the weather, it needs to find the right tool for the job. This process is called tool retrieval, and it turns out current sys...
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