Module 6: Data Preparation
The Foundation of Successful Fine-Tuning
Data quality is the single most important factor in fine-tuning success. This module covers everything you need to prepare high-quality training data.
What You'll Learn
- Master dataset formats (Alpaca, ShareGPT, custom)
- Ensure data quality through filtering and curation
- Generate synthetic data using LLMs
- Build effective training pipelines
Module Structure
| Chapter | Topic | Duration |
|---|---|---|
| Chapter 1 | Dataset Formats | 25 min |
| Chapter 2 | Data Quality | 30 min |
| Chapter 3 | Synthetic Data Generation | 25 min |
| Quiz | Module 6 Quiz | 30 min |
Key Principle
Quality over Quantity: 500 high-quality examples often outperform 50,000 low-quality ones.
Estimated time: 2 hours