chunk_content: int8 training for automatic speech recognition
  	
  Quantization reduces the precision of floating point data types, decreasing the memory required to store model weights. However, quantization degrades inference performance because you lose information when you reduce the precision. 8-bit or int8 quantization uses only a quarter precision, but it does not degrade performance because it doesn’t just drop the bits or data. Instead, int8 quantizatio