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Documentation Index

Fetch the complete documentation index at: https://docs.finetunedb.com/llms.txt

Use this file to discover all available pages before exploring further.

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Identify Logs

Logs are systematically tracked for future fine-tuning, capturing feedback, tags, and anomalies. Use the Log Viewer to identify relevant logs. Apply filters such as model and custom tags to locate the data needed for fine-tuning. Hero Light

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Add Logs to Dataset

Select the filtered logs and import them into a dataset. Save the dataset to use it for fine-tuning your models. Hero Light

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Train on Logs

By leveraging production data, you can speed up the creation of fine-tuning datasets. This approach also facilitates switching between models, such as moving from a proprietary model (like GPT-4) to an open-source model.