RAG and Fine-Tuning Explained

Successful AI integration in mission-critical systems requires data accuracy. The current best method for this is using Retrieval Augmented Generation (RAG) in combination with fine-tuned language models. In this short course you’ll get a high-level breakdown of how RAG and fine-tuning works, when they are useful, and where pitfalls are for these approaches.