Fine-tuning job lifecycle

Understand fine-tuning job statuses and timestamps

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

Audience: CRM administrators and authorised staffPermission: Settings: ViewModule v1.0.0

Exact navigationAdmin Area → Setup → Settings → AI → OpenAI → Advanced Features → OpenAI Fine Tuning

Before you begin

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 covers

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.

Exact step-by-step process

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

Fields, choices and supported possibilities

ActionUnderstand fine-tuning job statuses and timestamps

Exact navigationAdmin Area → Setup → Settings → AI → OpenAI → Advanced Features → OpenAI Fine Tuning

Module version1.0.0

VerificationConfirm the saved record, status, output or setting in the same workspace and review any linked activity, file or notification.

Code-backed validations and workflow rules

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

Expected result and verification

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.
Review 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.