Fine-Tuning

Additional training applied to a pre-trained AI model using a smaller, focused dataset, adapting it to a specific task, domain, or style without retraining from scratch. Fine-tuning bakes knowledge into the model itself (unlike RAG, which retrieves knowledge at query time). Best when you need consistent stylistic or behavioral changes, not just access to specific documents.