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12min chapter
Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164
The AI Podcast
Advancing Recommender Systems
This chapter explores the development of a comprehensive framework for recommender systems, highlighting the collaboration between data scientists and engineers to overcome challenges in model deployment. It discusses the evolving landscape of these systems, comparing their progress to that of computer vision and NLP, while emphasizing the importance of standardized tools and resources for future advancements.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode