FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents

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• FT-Dojo is an interactive environment designed to study end-to-end LLM fine-tuning with agents, comprising 13 tasks across 5 domains.method 70%
• FT-Agent is an autonomous system developed to automate LLM fine-tuning by iteratively diagnosing failures and refining strategies based on evaluation-driven feedback.method 70%
• Purpose-built fine-tuning agents, such as FT-Agent, significantly outperform general-purpose alternatives in LLM fine-tuning tasks.result 70%
• FT-Agent achieved the best performance on 10 out of 13 tasks across all five domains within the FT-Dojo environment.result 70%
• The FT-Agent approach generalizes effectively to 3B parameter models.technical 70%
• Autonomous LLM fine-tuning agents exhibit fundamental limitations in causal reasoning.limitation 70%
• Autonomous agents can recover from failures through cumulative learning from historical experience.technical 70%

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