Strategy Accumulation and Guided Execution for Automated LLM Fine-Tuning
Producing task-specific large language models requires discovering effective training strategies through experimentation. Automated fine-tuning systems have made this experimentation feasible with far less manual effort. However, these systems are stateless: each search discards its discovered strategies, dataset insig...
Hao-Ran Zhao, Wei Du, Dingwen Yang et al.
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