# #526: Building Data Science with Foundation LLM Models Page: https://stenobird.com/podcast/talk-python-to-me/526-building-data-science-with-foundation-llm-models Text version: https://stenobird.com/podcast/talk-python-to-me/526-building-data-science-with-foundation-llm-models.md Podcast: [Talk Python To Me](https://stenobird.com/podcast/talk-python-to-me) Published: 2025-11-01T07:00:00+00:00 Episode link: https://talkpython.fm/episodes/show/526/building-data-science-with-foundation-llm-models Audio file: https://talkpython.fm/episodes/download/526/building-data-science-with-foundation-llm-models.mp3?v=2 Processing state: processed JSON: https://stenobird.com/v1/public/podcasts/talk-python-to-me/episodes/526-building-data-science-with-foundation-llm-models Duration seconds: 4044 ## Resource Today, we’re talking about building real AI products with foundation models. Not toy demos, not vibes. We’ll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who’s been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/talk-python-to-me/episodes/526-building-data-science-with-foundation-llm-models/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/talk-python-to-me/526-building-data-science-with-foundation-llm-models.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.