What Is Instruction Tuning? How Supervised Fine-Tuning Makes Models Useful

Instruction tuning enhances pretrained AI models by training them on examples of instructions paired with desired responses, improving their usefulness and consistency in interactive tasks. This process involves collecting instruction-response pairs, formatting them for training, fine-tuning the model, evaluating its generalization, and integrating safety or preference controls.