Data preparation and analysis for chat model fine-tuning
This notebook serves as a tool to preprocess and analyze the chat dataset used for fine-tuning a chat model. It checks for format errors, provides basic statistics, and estimates token counts for fine-tuning costs. The method shown here corresponds to legacy fine-tuning for models like babbage-002 and davinci-002. For fine-tuning gpt-3.5-turbo, see the current fine-tuning page.