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https://www.aewin.com/wp-content/uploads/2021/02/bfloat16.jpg1200628AI calculation is computationally expensive, especially with the larger number sets of working with FP32. Half precision FP16 floating point has only 8bit precision significand with 5bit for exponent which has reduced precision and rangeof represented numbers compared to FP32. BFloat16 developed by Google specifically toaddress the specialized need of AI, where it requires a […]