The GTA Benchmark: A New Standard for General Tool Agent AI Evaluation
Practical Solutions and Value
The GTA benchmark addresses the challenge of evaluating large language models (LLMs) in real-world scenarios by providing a more accurate and comprehensive assessment of their tool-use capabilities. It features human-written queries, real deployed tools, and multimodal inputs to closely mimic real-world contexts, allowing for a more realistic evaluation of LLMs in planning and executing complex tasks using various tools.
The benchmark consists of 229 real-world tasks that require the use of various tools, with evaluations conducted in step-by-step and end-to-end modes. The results highlight the shortcomings of current LLMs in handling real-world tool-use tasks and emphasize the need for further advancements in the development of general-purpose tool agents. The GTA benchmark sets a new standard for evaluating LLMs and serves as a crucial guide for future research aimed at enhancing their tool-use proficiency.
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