Floating Point Precision, Low Precision, Aı, Machine Learning Ai, Llm.
Google brain team developed BF16 which is similar to FP16, the only difference is it uses 8 bits exponent same as FP32. The main advantage of using BF16 in deep learning models is, converting FP32 to BF16 is pretty faster and less complex by ignoring fractional part. It also easier and useful for