Enhancing the Agent Capabilities of Low-Parameter Language Models through Supervised Fine-Tuning and Multi-Branch Reasoning

Open-source low-parameter language models can have their agent capabilities significantly improved through supervised fine-tuning on agent-specific data and techniques like task decomposition and backtracking to enhance their reasoning abilities.