Skip to main contentThe foundation of any fine-tune is the data. You can build your datasets using three primary methods in Maitai:
Production Traffic
Promote real-world interactions directly from the Observe view into a dataset. This ensures your model is trained on the actual distributions of your users’ requests.
Manual Upload
Import your existing “gold standard” data via CSV or JSON. This is ideal for bootstrapping a model when you already have a verified corpus of high-quality interactions.
Synthetic Generation
Use the Synthetic Conversation Tree (SCT) visualizer to map out the logic of your application and generate thousands of unique, structured training examples. This is powerful for covering edge cases that haven’t occurred in production yet.
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