Definition
What this term means
The process of further training a pre-trained AI model on a narrower, domain-specific dataset to improve its performance for particular tasks or industries. Fine-tuning allows organisations to customise a general-purpose model for specialised use cases, such as legal analysis, medical diagnosis, or customer service, by exposing it to curated examples relevant to that domain.
Why it matters
The business impact
Fine-tuned models are increasingly used in enterprise settings to power internal search, customer support, and decision-making tools. These models may have different biases and preferences compared to general-purpose models. Brands that ensure their content appears in fine-tuning datasets gain a durable visibility advantage within specific industry ecosystems.
Used in context
How you might use this term
“A financial services firm discovered that an enterprise AI tool used by procurement teams had been fine-tuned on industry reports that excluded their brand. By contributing authoritative content to industry publications and data repositories, they were included in the next fine-tuning cycle.”