ToolACE ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool learning data. ToolACE leverages a novel self evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs. Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process. To ensure data accuracy, we implement a dual layer verification system combining rule based and model based checks. More details can be found in our paper on arxiv: ToolACE: Winning the Points of LLM Function Calling . The model finetuned with ToolACE is released in hf, winning promising scores on the functional calling leaderboard BFCL. Citation If you think ToolACE is useful in your work, please cite our paper:
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