# Preparing training data — Fine-tuning vs Prompting

Source: https://www.geekswithgeeks.com/en/fine-tuning/fine-tuning-05

> Apply Preparing training data with clear evidence.

## Understand Preparing training data

For **Preparing training data**, begin with the problem it solves. Identify the inputs, constraints, and observable outcome before choosing an implementation.

## Practise deliberately

Create one small example for **Preparing training data** and verify its result before expanding it.

## A useful comparison

**Preparing training data** is like a route plan: it keeps each step connected to a destination.

Check your reasoning.

**Quiz:** What is the best first step for Preparing training data?

- [x] Define the goal and constraints.
- [ ] Copy an unverified example.
- [ ] Skip measurement.

*Answer:* Define the goal and constraints.. A clear goal and constraints make decisions reviewable.