AI product planning
That question helps turn an interesting demonstration into a useful product scope.
The AI product planning guide covers the task, inputs, evaluation, review and operating decisions.
Not necessarily. First identify the behavior that needs improving and compare simpler changes. Prompting, supplying relevant information and model adaptation solve different problems.
Review model adaptation and deploymentUse permitted examples of the actual task and agreed expected outcomes. Count failures and corrections as well as successful outputs, and keep separate examples for evaluation.
Only within a defined permission and approval process. A draft answer and an action that changes a record or contacts someone have different consequences.
Keep the tested configuration and a representative evaluation set. Recheck the task, cost and failure states before releasing a changed model or prompt.