Instruction tuning is a training technique where a pre-trained language model is further trained on a curated dataset of instruction-response pairs to improve its ability to follow natural language instructions. This process is what transforms a raw language model into a helpful assistant that can understand and execute user requests reliably.
A base model trained on internet text might respond to "Summarize this article" by continuing the text. After instruction tuning on thousands of summarization examples, the same model correctly produces a concise summary.
Build polished, copy-ready prompts in under 60 seconds with SurePrompts.
Try SurePrompts