Infrastructure Challenges

Connor discusses the complexities of building specialized infrastructure for machine learning, emphasizing the need for in-house solutions over existing tools. He highlights the ongoing challenges in prompt optimization and the importance of continuously fine-tuning models while collecting new data. The conversation reveals the significant investment in developing systems that enhance model proficiency and knowledge retrieval.