LLM Fundamentals - What is instruction tuning and why does it make models more useful?

Fine-tuning on (instruction, response) pairs teaches the model to follow natural language directives

Training the model to generate step-by-step instructions for any task

Adding a retrieval database so the model can look up answers to instructions

Reducing the model size so it can run on instruction-following hardware