Fine-tuning job lifecycle

Understand automatic model selection after successful training

This guide explains that when the returned model becomes selected and enabled. The guide then takes you through the correct route, the checks to complete before making changes, the workflow in order, and the evidence to review afterwards.

Audience: CRM administrators and authorised staffPermission: Settings: EditModule 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: Edit 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 you’ll accomplish

Know when the returned model becomes selected and enabled. 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 to review

ActionUnderstand automatic model selection after successful training
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 the system enforces

  • On succeeded status, the returned model is automatically selected/enabled only if no fine-tuned model is currently selected.
  • Existing explicit selection is not silently replaced.

How to confirm it worked

  • The supported understand automatic model selection after successful training 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.