Fine-Tuning
Further training an existing AI model on a specific, narrower dataset to specialize it for a particular task or style.
01 Definition
Instead of building a model from scratch, fine-tuning takes an already-trained general model and trains it a bit more on a focused dataset — customer support transcripts, legal documents, a company's brand voice — so its output better matches that specific use case.
02 Why It Matters
This is how companies build specialized AI products (like a legal-research assistant) without training a whole new model, and it's why some tools sound more 'on-brand' than generic chatbots.
03 Example
A company might fine-tune a model on its own support tickets so it answers in the company's tone and knows its product details.