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2min chapter
Bridging the Hardware-Software Divide in AI
The Data Exchange with Ben Lorica
Optimizing Data Representation and Networking in AI
This chapter explores innovative methods in data representation, highlighting parallel logarithmic algorithms and the optimization of floating-point numbers. It also addresses networking challenges in large-scale training and emphasizes the need for software optimization to reduce communication overhead and enhance data locality.
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Discover
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