This podcast episode explores the role of AI engineers in working with language models and discusses the challenges and rewards of implementing fallbacks and prompts in AI applications. It also discusses the tendency to reach for standardization and abstractions early in new technology cycles and the difficulty of determining when to standardize. The importance of evaluating new models and adopting an ML first mindset in AI engineering roles is emphasized. The conversation further explores ways to connect with potential hires in the tech industry and highlights the importance of hiring high-capability young people. Overall, the episode provides valuable insights into the world of AI engineering and the evolving programming landscape.
