Preparing Training Data for Fine-Tuning — Fine-Tuning & Model Customi…

Building the dataset that shapes the result

Steps in Preparing Training Data for Fine-Tuning

Building a Fine-Tuning Dataset — beginner · Structuring examples in the format a training pipeline expects
Data Quality Over Data Quantity — beginner · Why a small, clean dataset often beats a large, noisy one
Labeling and Annotation for Fine-Tuning — beginner · Managing the process of creating high-quality training examples
Data Augmentation Techniques — beginner · Expanding a limited dataset without sacrificing quality
Train/Validation/Test Splits for Fine-Tuning — beginner · Structuring data splits to get an honest read on model performance