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watt or area per cost or like whatever it is that you're optimizing for and so one of the amazing things about TP use is this numeric format called b-flat 16b
float16 is a compressed 16-bit floating-point format but it puts the bits in different places in numeric terms it has a smaller mantissa and a
larger exponent that means that it's less precise but it can represent larger ranges of values which in the machine learning context is really important and
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