{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Instruction Tuning — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

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.

Source: gaks.ai/glossary/instruction-tuning →
"}