GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling

In three linesGenesisFunc is an automated multi-agent pipeline for generating function-calling training data. Starting from reliable tools in public benchmarks, the system produces diverse conversations with multi-stage quality control. An 8B model fine-tuned on this synthetic data outperforms similarly-sized open-source models in in-domain performance and out-of-domain generalization.

Summary generated by Claude — human-verified