Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Follow how a model can make a long reply by choosing a small next piece, appending it, and then predicting again. See why early wording can steer everything that follows.

Use what you learned in the previous lesson to solve real-world problems.

Treat the prompt as the visible text the model must continue from: task, question, facts, examples, and constraints. Identify which parts of a prompt are likely to shape the response most directly.

Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Compare vague and specific prompts to see how added details narrow the set of reasonable continuations. Practice adding audience, goal, tone, format, or constraints when the next answer is too open-ended.

Use what you learned in the previous lesson to solve real-world problems.

Look at how a few input-output examples create a pattern the model is likely to extend. Recognize when examples define the expected style or structure more clearly than an abstract instruction.

Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Use quotes, headings, bullets, or delimiters to mark what is instruction and what is source material. Reason through how clearer boundaries reduce accidental continuation of the wrong text.

Use what you learned in the previous lesson to solve real-world problems.

Read a chat prompt as a sequence of system, user, and assistant messages that all become context for the next reply. Notice how role labels and earlier turns can shape what kind of answer feels appropriate.

Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Spot prompts where missing details leave many reasonable continuations open. Predict when the model may fill gaps with common defaults, generic wording, or assumptions that were never stated.

Use what you learned in the previous lesson to solve real-world problems.

Compare two nearly identical prompts and predict why their answers could differ in length, tone, format, or focus. Build sensitivity to small wording changes that shift what continuation seems natural.

Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Judge a response as a fluent continuation of context, not automatic proof that every claim is true. Learn why a model can produce confident-sounding text when the prompt encourages a likely but unsupported answer.

Use what you learned in the previous lesson to solve real-world problems.

Check what you understood with a short quiz.

Review this chapter with practice based on your mistakes.