SynthAPI: scaling laws for tool-use agents with controlled synthetic environments
ResearchSource:arXiv
A paper studies how synthetic data composition affects the learning of tool-using agents: 458,752 tasks across 849 models in four sizes. At equal budget, diversifying tools and databases beats adding more tasks; agents trained this way outperform baselines on four benchmarks.
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