The process of further training a pre-trained language model on a specific dataset to improve its performance on particular tasks or domains. Fine-tuning adapts a general-purpose model to understand specialized terminology, follow specific output formats, or excel at domain-specific reasoning — without requiring the enormous compute resources needed to train a model from scratch.
Related Terms
LLM (Large Language Model)
A deep learning model trained on massive amounts of text data that can understand and generate human-like language. LLMs like Claude, GPT, and Gemini serve as the reasoning engine behind AI agents, enabling them to understand instructions, process information, and generate intelligent responses.
Prompt Engineering
The practice of designing and optimizing the instructions given to large language models to elicit desired behaviors and outputs. Effective prompt engineering is critical for building reliable AI agents — determining how well they reason, follow instructions, use tools, and handle edge cases.