Fine-tuning is the process of adapting a general, pre-trained AI model by training it further on a smaller, high-quality, domain-specific dataset. This critical step refines the model’s focus, allowing it to accurately use client-specific jargon, understand business nuances, and achieve greater precision in tasks like code generation or complex document analysis.
Fine-tuning
