{"id":145186,"date":"2025-10-08T13:25:19","date_gmt":"2025-10-08T13:25:19","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/building-data-science-with-foundation-llm-models-talk-python-to-me-ep-526\/"},"modified":"2025-10-08T13:25:19","modified_gmt":"2025-10-08T13:25:19","slug":"building-data-science-with-foundation-llm-models-talk-python-to-me-ep-526","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/building-data-science-with-foundation-llm-models-talk-python-to-me-ep-526\/","title":{"rendered":"Building Data Science with Foundation LLM Models &#8211; Talk Python to Me Ep. 526"},"content":{"rendered":"<div class=\"youtubomatic-video-container\"><iframe loading=\"lazy\" width=\"580\" height=\"380\" src=\"https:\/\/www.youtube.com\/embed\/_LFdKjsKdPE?autoplay=1&#038;controls=1&#038;hl=en\" frameborder=\"0\" allowfullscreen><\/iframe><\/div>\n<p>Today, we\u2019re talking about building real AI products with foundation models. Not toy demos, not vibes. We\u2019ll 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\u2019s been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around.<\/p>\n<p>\u25ac\u25ac\u25ac\u25ac About the podcast \u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac<\/p>\n<p>This video is the uncut, live recording of the Talk Python To Me podcast ( <a href=\"https:\/\/talkpython.fm\" target=\"_blank\">https:\/\/talkpython.fm<\/a> ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at <a href=\"https:\/\/talkpython.fm\/subscribe\" target=\"_blank\">https:\/\/talkpython.fm\/subscribe<\/a>.<\/p>\n<p>\u25ac\u25ac\u25ac\u25ac Guests \u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac<\/p>\n<p>Hugo Bowne-Anderson  <\/p>\n<p>\u25ac\u25ac\u25ac\u25ac Links and resources from the show \u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac<\/p>\n<p>Hugo Bowne-Anderson: <a href=\"https:\/\/x.com\/hugobowne\" target=\"_blank\">https:\/\/x.com\/hugobowne<\/a><br \/>\nVanishing Gradients Podcast: <a href=\"https:\/\/vanishinggradients.fireside.fm\" target=\"_blank\">https:\/\/vanishinggradients.fireside.fm<\/a><br \/>\nFundamentals of Dask: High Performance Data Science Course: <a href=\"https:\/\/training.talkpython.fm\/courses\/fundamentals-of-dask-getting-up-to-speed\" target=\"_blank\">https:\/\/training.talkpython.fm\/courses\/fundamentals-of-dask-getting-up-to-speed<\/a><br \/>\nBuilding LLM Applications for Data Scientists and Software Engineers: <a href=\"https:\/\/maven.com\/hugo-stefan\/building-llm-apps-ds-and-swe-from-first-principles?promoCode=friendsoftalkpython\" target=\"_blank\">https:\/\/maven.com\/hugo-stefan\/building-llm-apps-ds-and-swe-from-first-principles?promoCode=friendsoftalkpython<\/a><br \/>\nmarimo: a next-generation Python notebook: <a href=\"https:\/\/marimo.io\" target=\"_blank\">https:\/\/marimo.io<\/a><br \/>\nDevDocs (Offline aggregated docs): <a href=\"https:\/\/devdocs.io\" target=\"_blank\">https:\/\/devdocs.io<\/a><br \/>\nElgato Stream Deck: <a href=\"https:\/\/www.elgato.com\/us\/en\/p\/stream-deck\" target=\"_blank\">https:\/\/www.elgato.com\/us\/en\/p\/stream-deck<\/a><br \/>\nSentry&#8217;s Seer: <a href=\"https:\/\/talkpython.fm\/seer\" target=\"_blank\">https:\/\/talkpython.fm\/seer<\/a><br \/>\nThe End of Programming as We Know It: <a href=\"https:\/\/www.oreilly.com\/radar\/the-end-of-programming-as-we-know-it\/\" target=\"_blank\">https:\/\/www.oreilly.com\/radar\/the-end-of-programming-as-we-know-it\/<\/a><br \/>\nLorikeetCX AI Concierge: <a href=\"https:\/\/www.lorikeetcx.ai\" target=\"_blank\">https:\/\/www.lorikeetcx.ai<\/a><br \/>\nText to SQL &#038; AI Query Generator: <a href=\"https:\/\/www.text2sql.ai\" target=\"_blank\">https:\/\/www.text2sql.ai<\/a><br \/>\nInverse relationship enthusiasm for AI and traditional projects: <a href=\"https:\/\/www.oreilly.com\/radar\/wp-content\/uploads\/sites\/3\/2025\/04\/LLM-SDLC_Fig1_edit3-1.png\" target=\"_blank\">https:\/\/www.oreilly.com\/radar\/wp-content\/uploads\/sites\/3\/2025\/04\/LLM-SDLC_Fig1_edit3-1.png<\/a><\/p>\n<p>\u25ac\u25ac\u25ac\u25ac Dive deeper \u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac<\/p>\n<p>Listen to the Talk Python To Me podcast at <a href=\"https:\/\/talkpython.fm\" target=\"_blank\">https:\/\/talkpython.fm<\/a> and explore over 275 hours of Python courses at <a href=\"https:\/\/training.talkpython.fm\/courses\" target=\"_blank\">https:\/\/training.talkpython.fm\/courses<\/a>.<\/p>\n<p>\u25ac\u25ac\u25ac\u25ac Follow us on Social \u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac\u25ac<\/p>\n<p>Mastodon: Michael &#8211; <a href=\"https:\/\/fosstodon.org\/@\" target=\"_blank\">https:\/\/fosstodon.org\/@<\/a>mkennedy &#038; Talk Python &#8211; <a href=\"https:\/\/fosstodon.org\/@\" target=\"_blank\">https:\/\/fosstodon.org\/@<\/a>talkpython<br \/>\nBluesky:  Michael &#8211; <a href=\"https:\/\/bsky.app\/profile\/mkennedy.codes\" target=\"_blank\">https:\/\/bsky.app\/profile\/mkennedy.codes<\/a> &#038; Talk Python &#8211; <a href=\"https:\/\/bsky.app\/profile\/talkpython.fm\" target=\"_blank\">https:\/\/bsky.app\/profile\/talkpython.fm<\/a><br \/>\nX:        Michael &#8211; <a href=\"https:\/\/x.com\/mkennedy\" target=\"_blank\">https:\/\/x.com\/mkennedy<\/a> &#038; Talk Python &#8211; <a href=\"https:\/\/x.com\/talkpython\" target=\"_blank\">https:\/\/x.com\/talkpython<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Today, we\u2019re talking about building real AI products with foundation models. Not toy demos, not vibes. We\u2019ll 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\u2019s been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","tve_updated_post":"","tve_custom_css":"","tve_user_custom_css":"","tve_globals":{},"tcb2_ready":0,"tcb_editor_enabled":0,"tve_landing_page":"","_tve_header":"","_tve_footer":""},"categories":[1],"tags":[],"class_list":["post-145186","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Building Data Science with Foundation LLM Models - Talk Python to Me Ep. 526 - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/building-data-science-with-foundation-llm-models-talk-python-to-me-ep-526\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Building Data Science with Foundation LLM Models - Talk Python to Me Ep. 526 - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Today, we\u2019re talking about building real AI products with foundation models. 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