Instruction Tuning

A fine-tuning technique where a pre-trained language model is trained on a dataset of instruction-response pairs, teaching it to follow explicit directions from users. Instruction tuning is what transforms a raw language model, which simply predicts the next token, into a helpful assistant that responds appropriately to requests.
See also: fine-tuning, reinforcement learning from human feedback, foundation model.