Fine-tuning
The process of taking a pre-trained model and training it further on specific data to specialize its behavior for particular tasks or brand voices.
Why Fine-tuning matters
Fine-tuning enables brands to create AI agents that consistently match their tone, style, and domain expertise.
Fine-tuning in context
As AI-powered discovery replaces traditional search, understanding Fine-tuning is a core competency for modern brands. It sits in the AI & GenAI family of concepts and directly influences how language models like ChatGPT, Gemini, Claude, and Perplexity surface, cite, and recommend brands.
Related Terms
Large Language Model (LLM)
A neural network trained on massive text datasets to understand and generate human-like language, powering tools like ChatGPT, Claude, and Gemini.
Generative AI (GenAI)
AI systems that create new content - text, images, video, code - by learning patterns from training data rather than following explicit rules.
Token
The fundamental unit of text processing in LLMs, typically representing a word, part of a word, or punctuation mark.