Lesson 2.4 · Beginner

Does AI learn from your corrections?

Build continuity you can inspect rather than assume.

3 min read

The short version

An app may save notes or past chats. That is different from training the model. For long tasks, keep a handover of checked facts and open questions.

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The idea What to check Try it

The idea

A chat, an app's saved memory, and model training are different things. A correction can guide later replies while it remains in context. An app may save a note for later use. Training changes the model's stored numbers. Do not assume one does the work of another.

What to check

For a long task, keep a short handover. State the goal, the source versions, what has been checked, and what remains open. Keep proposed facts separate from verified facts. Store that note where the next session can read it.

When you resume, ask the tool to identify the source versions and the next step. Check its answer before relying on old work.

Try it

A new session says it remembers that an offer was accepted. Your note says acceptance is disputed. Which should guide the next step?

Check your understanding

Return to the source and the unresolved issue. A claimed memory does not settle the fact. Update the handover only after checking the record.

Examples are teaching material. For legal rules, read the current primary text linked below. A revision date does not certify every claim.

Sources and further reading

Linked sources support the technical background identified below. The legal workflows, prompts, and fictional examples are original editorial exercises; they are not claims of endorsement by the linked authors.

CourseHugging Face · How do Transformers work?

Language-model training, inference, and the distinction between pretraining and further training.

Engineering articleAnthropic · Effective harnesses for long-running agents

Explicit progress records and recoverable artifacts across sessions.

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