The poet Blake wrote that you can see a world in a grain of sand. But even better, you can see a universe in an atom! Bound states of hydrogen atom correspond to states of a massless quantum particle ...

Explore how Quantization Aware Training (QAT) and Quantization Aware Distillation (QAD) optimize AI models for low-precision environments, enhancing accuracy and inference performance. As artificial ...

I want to use pytorch-quantization to perform classification quantization of Deepstream7, which can be done normally in deepstream6. The process is to use torch ...

Specifications such as gain error, offset error, and differential nonlinearity help define an analog-to-digital converter’s performance. In part 1 of this series, we discussed an ideal ...

Hello! We have been testing CheXagent 8B with great success, and even were able to fit it in a 8GB GPU with 4 bit quantization. We are very interested in migrating to CheXagent 3B with 8 bit ...

Abstract: Quantization noise is an problem in converting an analog signal to digital and there are two methods called as Rounding and Truncation to minimize the error ...

If you encounter OneDrive error 0x8004e4be, There was a problem signing you in, on your Windows 11/10 PC, read this post to learn how to fix it. A few users have been ...

Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model size. However, training these massive models presents ...

Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as ...