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Vector Podcast

Code search, Copilot, LLM prompting with empathy and Artifacts with John Berryman

Feb 10, 2025
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.
01:07:24

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • John Berryman's diverse background in search and machine learning has significantly influenced the development of AI applications like GitHub Copilot.
  • Effective prompt engineering is essential for users to enhance the output quality and relevance of large language models during interactions.

Deep dives

John Berman's Journey in Tech

John Berman has had a diverse and extensive career in technology, beginning with aerospace engineering and transitioning into software development and search technologies. After co-authoring a book focused on search relevance, he worked with prominent companies like Eventbrite and GitHub, where he improved their search infrastructures and implemented Elasticsearch for code search. His move into machine learning and specifically GitHub Copilot involved building infrastructure to support large language models in production and enhancing features for the Copilot chat. Currently, he operates Arcturus Labs, focusing on consultancy work related to prompt engineering and large language model applications.

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