Tool Diversity Beats Task Volume: Meta FAIR Derives Agent Training Scaling Law
· techtimes.com · popularity 20/100 · 0 similar stories today · AI & Data Science (Artificial Intelligence)
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Summary
Tool-use agent training data should favor API diversity over task volume, according to a formal scaling law Meta FAIR derived from 849 trained models. SynthAPI, the pipeline behind the finding, trained agents that outperformed NVIDIA's Nemotron-Agentic tool-use baseline by 30.5 percentage points across multiple benchmarks.
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