John Berryman

In this engaging discussion, John Berryman, Founder of Arcturus Labs and an early engineer on GitHub Copilot, dives into the real-world challenges of building AI applications. He highlights the 'seven deadly sins' of LLM development, offering practical solutions to keep projects moving. John explains why aspiring for perfect accuracy may hinder progress and shares insights on context management and retrieval debugging. Treating an LLM like a forgetful intern, he emphasizes starting simply and avoiding unnecessary complexity for successful deployment.

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.