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    • Evaluate a Prompt
      • Turn a Prompt into a Template
      • Prepare Validation Examples
      • Create a Templated Model
      • Review & Rate Outputs
      • Iterating on the Prompt
    • Build a Dataset
      • Import a CSV
      • Transform Data
      • Synthesize Examples
      • Quantity & Quality of Data
    • Fine-tune a Model
      • Start a Fine-tune
      • Fine-tuning Hyperparameters
      • Compare Fine-tunes
      • Next Steps
    • Generate Completions
      • Playground
      • Inference Parameters
      • Shareable Link
      • Deploy a Model
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  2. Fine-tune a Model

Start a Fine-tune

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Last updated 9 months ago

Once you have a dataset with enough examples (see ) and have connected a that supports fine-tuning, you are ready to fine-tune a model.

To start a fine-tune, go to Models, press the + button, and choose "Start a fine-tune."

On the next screen, you can select your and . You can also see the token counts and estimated time and/or cost if available.

For most fine-tuning jobs, the template should be very minimal. You do not need to include a lengthy instructional prompt, although in small datasets a very short prompt or semantic labels for your field references can help cue desired behavior.

In the next section, we'll discuss common fine-tuning hyperparameters and how to set them.

Quantity & Quality of Data
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