Instruction tuning is the process of fine-tuning a base language model on a dataset of (instruction, output) pairs to improve its ability to follow user commands and act as an assistant.
The step that bridges the gap between a text completor and a chatbot like ChatGPT.
Standard practice for creating helpful AI assistants.