The short answer
Examples in a chat usually influence that context, not immediate parameter updates. Later use of your data depends on the service's settings and terms.
Try it in three steps
- Give the model a temporary formatting rule.
- Test it in the same conversation and then in a new one.
- Record memory settings separately from data-use policies.
A practice prompt
Before you start
Observe conversational instructions without training or inferring a provider's data policy from one answer.
Practice material (fictional)
Use name: value for this chat with apples, quantity 3. Start another chat without the formatting instruction.Replace placeholders in the prompt with this material, or append the material if there are no placeholders. Reading time excludes doing the exercise.
For this exercise, answer only as name: value. Explain how this conversational rule differs from retraining.What to look for (not a recorded test result)
The current chat can follow the format. Retention elsewhere may depend on product settings; neither outcome proves immediate parameter training.
If it goes wrong
Retention in a new chat may come from memory or project settings; it does not prove training occurred.
Check your result
You can separate current context, persistent memory and parameter training.
References and scope
The links below support the concepts or product navigation. The steps and exercises are our teaching suggestions, not official certification or measured customer outcomes. Product interfaces and availability may change. References checked on 2026-10-17.