In this discussion, John Berryman, an expert who transitioned from aerospace engineering to search and machine learning, explores the dual nature of retrieval-augmented generation (RAG). He emphasizes separating search from prompt engineering for optimal performance. Berryman shares insights on effective prompting strategies using familiar structures, testing human evaluations, and managing token limits. He dives into the differences between chat and completion models and highlights practical techniques for tackling AI applications and workflows. It's a deep dive into enhancing interactions with AI!

John Berryman, founder of Arcturus Labs and co-author of "Prompt Engineering for LLMs," shares his journey from search technology to AI. He discusses the evolution of code search and how GitHub Copilot reshapes programming with AI. Berryman emphasizes the balance between automation and human oversight in coding practices. The conversation dives into retrieval-augmented generation (RAG) and the future of interactive digital artifacts, opening discussions on reliability and accountability in AI-generated content. His insights are both informative and thought-provoking.