Fine-tuning

Fine-tuning is the process of taking an existing AI model and training it further on specialized, task-focused data to improve its performance in a specific domain or use case.

In practice:

• A general model (e.g., a large language model) is used as a base.
• New, domain-specific data is added to adapt it to a particular task or sector.
• Many startups use this to turn general models into tailored products for their own industry or niche.