Guil Hernandez

Guil Hernandez, developer and educator with 15 years of experience, explores the concept of retrieval-augmented generation in AI engineering. He explains how AI models turn inputs into embeddings and teaches how to connect models to specific data sources for better results. The episode covers the applications of retrieval-augmented generation, including building a chatbot that provides career advice and transcribing calls. Differences between retrieval-augmented generation and fine tuning are also discussed.