Models
Fine-tuning
Giving an already-trained model extra practice on a specific task.
Fine-tuning takes a general-purpose model and gives it focused training on a narrower job or style. Instead of building a model from scratch, you nudge an existing one toward your particular needs using a smaller batch of examples. This is how companies make an AI sound like their brand or handle their specialty.
For example
A law firm might fine-tune a model on its own documents so it writes in the firm's preferred legal style.
Related
Reasoning modelAn AI that pauses to think through a problem step by step before answering.Mixture of expertsA big model split into specialists, only a few of which handle each question.Open weights vs closedWhether a model's inner settings are shared publicly or kept private.DistillationTraining a small, cheap model to imitate a big, expensive one.