This podcast features an interview with Dr. Sharon Zhou, co-founder and CEO of Lamini, on prompt engineering for open-source LLMs. The interview begins with introductions and an overview of the workshop's topics, including the differences between prompt engineering and software engineering, and the importance of prompt transparency for open vs. closed LLMs. Dr. Zhou uses the analogy of "putting pants on" an LLM to illustrate how adding specific meta tags to prompts significantly improves performance, showcasing this with code examples. The discussion then covers RAG (Retrieval Augmented Generation) as a form of prompt engineering and emphasizes the importance of an iterative approach to prompt engineering, comparing it to searching on Google. Finally, the interview concludes with a Q&A session addressing audience questions about prompt engineering techniques for different languages and future LLMs.
