Introduction and Overview

In this episode of the Stack Overflow podcast, the hosts discuss the recent announcements regarding the launch of Overflow AI and its impact on Stack Overflow. They are joined by Michael and Alex, who explain their roles in leading the data science and data engineering teams working on Overflow AI. The conversation focuses on the different levels of leveraging large language models (LLMs), including solving prompts, using embeddings, and building custom models. The discussion highlights the importance of fine-tuning prompts and augmentation using existing data, rather than relying solely on LLMs for knowledge retrieval. The hosts also explore the challenges of contextualizing search results and the role of hidden prompts.