Benchmarking Single-Agent Performance

·2025.02.11 02:13

Key point

The study analyzed how the number of instructions and tools provided to a ReAct agent affects its performance.

This explores how the number of Instructions and Tools available to a single ReAct agent affects the agent's performance.

Benchmarking was conducted across tasks in two domains, targeting major models such as Claude-3.5-Sonnet, GPT-4o, o1, and o3-mini.

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