Fine-tuning a GPT Model: Understanding Data Formats

The video tutorial discusses preparing data for fine-tuning GPT models. It covers analyzing various data sets, including Arduino, earthquakes, and mental disorders, highlighting the importance of removing duplicates and ensuring data quality. The tutorial also explains using tweets data to mimic natural responses and the significance of adding suffixes to prompts and completions. Finally, it emphasizes converting data to JSON format for fine-tuning.

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