Path: How post-training works
Demonstrations and SFT
See how carefully written examples teach a model the desired form of an answer.
- Starting level
- New learner
- Time
- 18 minutes
- Public lesson guide
- EN + हिंदी
You will learn to
Recognise what makes a demonstration useful for supervised fine-tuning.
Why this matters
A model learns the requested behaviour from examples only when those examples follow the instruction clearly.
Three things to remember
- Follow the requested format exactly.
- Include required safety and content constraints.
- Avoid accidental patterns the model should not imitate.
See one example
Task
Give exactly three safe water-storage steps.
Weak approach
A long paragraph with five mixed ideas.
Stronger approach
Three numbered practical steps plus one brief contamination warning.
Why the stronger approach works
The strong example teaches both the requested structure and the safety constraint.
Make something yourself
Write one demonstration for a tightly constrained instruction, then list the signals it teaches.
A useful starting pointCheck count, order, required content, and prohibited content.
Practise this lessonRead further
The source is optional. The complete teaching and practice are available inside AI2Bharat.
Read the primary or official source: OpenAI InstructGPT