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The Shift to Lower Precision in AI Computation
This chapter explores the evolution of floating point arithmetic in computing, particularly in the context of artificial intelligence and neural networks. It highlights the transition to lower precision formats for enhanced speed without sacrificing accuracy and discusses the importance of open source code in promoting trust and security.