Technical advances in document understanding - Neural networks - Practical AI

Topics in this episode

Neural networks Computer vision Artificial intelligence Machine Learning Deep Learning changelog

Episode notes

Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage. Featuring: Chris Benson - Website , LinkedIn , Bluesky , GitHub , X Daniel Whitenack - Website , GitHub , X Sponsors: Shopify - The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business - no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalai Fabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives - spreadsheets, Postgres, Snowflake, Airtable and more.