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Fine-Tuning Job

A 4-step recipe with OpenAI. We can help you get access.

Recipe · 4 steps

Fine-Tuning Job

with OpenAI · Artificial Intelligence Management

Upload training data, run a fine-tuning job, and poll to completion.

  1. Upload the JSONL training file with the fine-tune purpose.
  2. Create a fine-tuning job using the uploaded training file.
  3. Poll the fine-tuning job until it reaches a terminal status, branching to the result step when finished and looping while it is still running.
  4. Retrieve the finished fine-tuning job and return the fine-tuned model.
What you'll need to have ready
  • apiKey: OpenAI API key used as a Bearer token.
  • trainingFile: The JSONL training file contents to upload (binary/multipart field).
  • model: The base model to fine-tune (e.g. gpt-4o-mini).
For your developer

Arazzo workflow openai:fine-tuning-job, 4 operations: createFile → createFineTuningJob → retrieveFineTuningJob → retrieveFineTuningJob. Specs on APIs.io.

More recipes with OpenAI

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