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21min chapter
Kate Park: Data Engines for Vision and Language
The Gradient: Perspectives on AI
Data-Driven Approach to Self-Driving Vehicles
The chapter explores Tesla's data-first strategy in developing autonomous vehicles, emphasizing the benefits of leveraging a data engine to enhance performance and improve systems through architectural enhancements. It highlights the importance of scaling data experiments to drive performance improvements and discusses the challenges of achieving incremental gains in self-driving systems. The conversation also touches upon the transition from computer vision to generative AI data engines, showcasing the evolution in NLP applications and the process of improving models through data engines for both NLP and vision problems.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode