Examples and Practice: Instruction and Preference Data¶
Worked Practice¶
- Write one paragraph explaining Instruction and Preference Data to a beginner.
- Draw the smallest diagram that shows input, transformation, output, and failure mode.
- Build or outline a tiny artifact connected to: Prepare an instruction dataset and PEFT plan.
- Measure it with: Track data quality, coverage, held-out quality, memory, cost, and regressions.
- Add one failure case to your learning log.
Mini Project Drill¶
Create a file named notes/instruction-and-preference-data.md in your project workspace. Include:
- the problem Instruction and Preference Data solves
- the simplest implementation or design
- the measurement you used
- one example input
- one expected output
- one failure case
- one decision you would make from the result
Check Your Understanding¶
| Question | What a strong answer includes |
|---|---|
| Why does Instruction and Preference Data matter? | It connects to an llm fundamentals notebook comparing models, tokenization, structured outputs, embeddings, costs, and failure cases. and names a practical risk. |
| How would you test it? | It uses a small repeatable case and a measurable expected result. |
| What breaks first? | It names a specific failure mode, not only "the model is bad". |
| When should you move on? | When the artifact works on a realistic case and one edge case. |
Stretch Exercise¶
Revisit the same drill after finishing the next part. Update the note with what changed. This is how isolated concepts become connected system judgment.
Return to 4.6.2 Instruction and Preference Data.