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13min chapter
Contrarian Guide to AI: Jason Liu on Betting Against Agents while Doubling Down on RAG & Fine-Tuning
High Agency: The Podcast for AI Builders
Challenges of Building Recommender Systems in Subjective Domains and Data Literacy
The chapter explores the difficulties in constructing recommender systems for subjective domains like fashion and coffee recommendations, highlighting the necessity of incorporating human input. It also delves into the importance of data literacy, addressing common mistakes and challenges related to properly understanding and utilizing data, such as data quality, drift, correlation vs. causation, and more.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode