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AI Infra for Long Context Model Training | Anna Patterson, founder of Ceramic AI

Infinite Curiosity Pod with Prateek Joshi

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Advancements in Ceramic AI: Enhancing Long Context Training

This chapter explores the significant improvements in Ceramic AI, particularly a 2.5x speed-up in long context model training. The discussion highlights the technical strategies employed, the distinctions between short and long context, and the implications for retrieval augmented generation. Furthermore, it addresses the challenges of managing large datasets and the importance of optimizing training materials for better AI performance in various sectors.

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