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Today, the Leslie Team discusses fine-tuning models within FSTP, noting that due to sharding, traditional layer freezing is not supported. The two current options are whole model fine-tuning and child tuning, which was developed in a paper from September 2021. This approach, called "Raise the Child in Large Language Model," aims for effective and generalizable fine-tuning.