Fine-Tuning

Fine-tuning is the process of taking a large, pre-trained AI model and adjusting it slightly to perform better on a specific task or for a particular industry. Instead of training a model from scratch, which takes a lot of time and data, you start with one that already knows a lot and just tweak it with more relevant examples. For example, you can fine-tune a general language model to write in the tone of your brand or to answer questions in a specific medical field.

Think of it like customizing a suit that already fits pretty well. You don’t need to make it from scratch, you just adjust it so it fits you perfectly. Fine-tuning helps AI become more useful and accurate in real-world applications, especially in business, healthcare, education, and customer service.