Instruction-tuning is a process where a pre-trained model is refined and tweaked so it can effectively perform specific tasks. This is done by providing the model with a set of guidelines or directives. Think of it as something similar to giving an employee a detailed job description: it helps the model to understand exactly what is expected of it and how to go about completing the task. As such, instruction-tuning is a powerful tool in the toolkit of those who work with AI, allowing them to quickly and effectively adapt their models to ever-changing and evolving needs.
