If ever there were a salient example of a counter-intuitive technique, it would be quantization of neural networks. Quantization reduces the precision of the weights and other tensors in neural ...

Quantization makes huge models smaller and more usable for general purposes. ... By converting these numbers to less precise formats through quantization, for example 16-bit, ...

For example, this blog explains the use of quantization and other techniques to optimize a model for fast inference on Ethos-U microNPU. Another blog shows how to use TFLite to train and quantize a ...

For example, a 32-bit floating point (FP32) can express precise values such as 0.123456, but when this is converted to an 8-bit integer (INT8), it is converted to an integer between 0 and 255.

This degree of quantization would, for example, be capable of processing the 16 phase levels present on a circular 256-QAM (quadrature amplitude modulation) signal, ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced Better Binary Quantization (BBQ) in Elasticsearch.BBQ is a new quantization approach developed from insights ...

The idea of simplifying model weights isn't a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network ...

SAN FRANCISCO, November 11, 2024--Elastic (NYSE: ESTC), the Search AI Company, announced Better Binary Quantization (BBQ) in Elasticsearch. BBQ is a new quantization approach developed from ...