Fine-tuning is a powerful technique for adapting pre-trained models to specific tasks and domains, enabling better performance, cost optimization, and customization. Just as a skilled tailor adjusts a suit to perfectly fit the wearer, fine-tuning allows to adapt AI models to excel at specific tasks and domains.

Flybridge Associate Daniel Poras Reyes does a deep dive into RAG framework.