Insights and Innovations: A Year with Large Language Models

The article delves into the operational aspects of building applications with large language models (LLMs), focusing on data management, model integration, product design, and team roles. It emphasizes the importance of regular data reviews, managing development-production skew, structured outputs, prompt migration, and model versioning. The piece also highlights the need for early design involvement, human-in-the-loop feedback, and prioritizing product requirements. Additionally, it discusses the roles and processes necessary for successful AI product development, advocating for continuous experimentation and broad team empowerment in using AI technologies.