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Fine-tuning job lifecycle

Understand fine-tuning job statuses and timestamps

Pixie CRM guidance. Follow the route for your workspace, check your role and enabled modules, and verify the result before moving on.

Interpret status, created time, finished time and error information returned by the provider.

Audience: CRM administrators and authorised staffPermission: Settings: ViewModule v1.0.0
Jump to steps
Where to goAdmin Area → Setup → Settings → AI → OpenAI → Advanced Features → OpenAI Fine Tuning
Before you start
  • Use an account with Settings: View and confirm the intended record or setting before making a change.
  • Follow the exact route above. If the screen or action is absent, check module activation, ownership and permissions rather than using another person’s account.
  • Use controlled test data for configuration, integration, email, AI, payment, portal or automation changes before production-wide use.

What this guide helps you do

Interpret status, created time, finished time and error information returned by the provider. The instructions reflect the supplied module’s registered menus, controller actions, views, settings and code-backed validation flow.

Follow these steps

  1. Go to Admin Area → Setup → Settings → AI → OpenAI → Advanced Features → OpenAI Fine Tuning.
  2. Select the relevant record, filter, report, model or configuration described below.
  3. Use the displayed action or read the current values without altering unrelated data.
  4. Compare the output with the code-backed rules and expected result in this guide.
  5. Record or correct any mismatch before relying on the output in production.

Fields and options

ActionUnderstand fine-tuning job statuses and timestamps
Exact navigationAdmin Area → Setup → Settings → AI → OpenAI → Advanced Features → OpenAI Fine Tuning
Module version1.0.0
VerificationVerify the saved record, status, output or setting in the same workspace and review any linked activity, file or notification.

Rules and limits

  • retrieveFineTuningJob returns status, fine-tuned model, created_at, finished_at and error.
  • Terminal states include succeeded, cancelled and failed in the supplied view logic.

Check it worked

  • The supported understand fine-tuning job statuses and timestamps flow completes without bypassing permission or validation checks.
  • The resulting record, setting, status, file, delivery event or external response is visible from the relevant workspace.
  • Unexpected validation, provider or linked-record errors are investigated before retrying.

Security, privacy and operational checks

  • Restrict the API key and AI settings to authorised administrators.
  • Do not submit confidential, special-category or unnecessary personal data to the external AI provider.
  • Check generated text before using it in customer, staff, legal, financial or compliance communication.
  • Monitor provider billing and retention independently because this module has no built-in cost dashboard.

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