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5min chapter
The Data-Centric Shift in AI: Challenges, Opportunities, and Tools
The Data Exchange with Ben Lorica
Intro
This chapter explores the transition in AI development towards a data-centric approach, prioritizing data quality over quantity in training foundation models. It highlights how companies are adapting their data handling practices to improve curation and tools, moving away from static benchmarks to more dynamic strategies.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode