Multi-LLM-Agent
α-UMi introduces an innovative, open-source method for tool learning by allowing small LLMs to effectively collaborate, surpassing the performance of larger closed-source LLMs. The system categorizes capabilities into planner, caller, and summarizer roles, each enhancing tool interaction and user response formation. With adaptable prompt design, the Multi-LLM agent employs a distinctive two-stage Global-to-Local Progressive Fine-tuning (GLPFT) for enhanced training. Renowned for its operational flexibility and advanced collaboration, α-UMi provides processed data for easy adoption, showcasing outstanding performance in both static and real-time evaluations.
