Talk Python to Me: #526: Building Data Science with Foundation LLM Models

The episode focuses on the practical aspects of building real AI products using foundation models, moving beyond simple demonstrations. Hugo Bowne-Anderson, a data scientist and educator, shares insights on deploying LLM features effectively. The discussion covers essential tools like dashboards for monitoring and evaluations for decision-making. It emphasizes the evolving role of analysts becoming AI application builders. Sponsors include Posit, NordStellar, and Talk Python Courses. Referenced resources include Hugo's X account, the Vanishing Gradients Podcast, and Dask courses. Noteworthy tools like Marimo notebooks, DevDocs, and Elgato Stream Deck are mentioned. Sentry's Seer and articles on the future of programming and AI concierges are also highlighted. The episode is available on YouTube and includes transcripts on the Talk Python website.