AgentTuning is a method to enhance the agent capabilities of large language models (LLMs) without compromising their general abilities. It uses a hybrid instruction-tuning strategy and achieves comparable performance to commercial LLMs on agent tasks.

https://arxiv.org/abs//2310.12823

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