A How-To Guide On Fine-Tuning
SMRTR summary
Fine-tuning adjusts an AI model's behavior by training it on new examples, but the process is time-consuming and repetitive. Two examples show this — one manually styling a model to mimic personal writing, another using PromptLayer to fine-tune a cheaper GPT-3.5 workout generator using GPT-4-generated training data, completing it in a fraction of the time.
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