What is Fine-tuning?
TL;DR
The process of further training an existing AI model on specific data to specialize it for particular tasks.
Fine-tuning: Definition & Explanation
Fine-tuning is the process of taking a pre-trained AI model and training it further on domain-specific data to specialize it for particular tasks or industries. For example, a general-purpose LLM can be fine-tuned with medical, legal, or financial data to create a model with deep expertise in that field. Fine-tuning is effective when prompt engineering alone cannot achieve the desired level of specialization, or when outputs need to follow a specific format or style. OpenAI, Google, and Anthropic all offer fine-tuning APIs for their models.