Fine-Tuning

Send your annotated data to an S3 bucket. Ensure the data is well-organized and labeled according to the model’s requirements (we’ll provide specs)

Use the Mixpeek Dashboard (and soon to be API) to schedule a fine-tuning job. Specify the base model_id, the S3 bucket path, and specs that tell the fine-tuner how to run.

This will return a new model_id, for example: model_1askdh2390, which you’ll then use in your methods like:

It’s recommended to store the version_id of each model state as it is fine-tuned.

If you append a model_version in the metadata of the pipeline it’ll automatically be added to your database so you can do query-time filtering.