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The three questions to ask before you fine-tune

Priya Raman ·

Fine-tuning is the most expensive way to find out your eval set was wrong. Ask these first.

What we changed

  • Do you have 200 examples you would be happy to be graded against? If not, start there.

  • Has a better prompt been tried, measured against those examples?

  • Is the problem knowledge, or behaviour? Knowledge is a retrieval problem and fine-tuning will not fix it.

The full walkthrough is in the documentation.

The three questions to ask before you fine-tune | Cloudmind