What is Fine-Tuning in Machine Learning
Fine-tuning is the process of adapting a pre-trained machine-learning model to a specific task.
Instead of training a model from scratch, which requires vast amounts of data and computing power, fine-tuning allows you to reuse learned knowledge while making targeted modifications.
For example, a pre-trained language model like GPT, which has learned general text patterns from the Internet, can be