Setting up a Large Language Model (LLM) like Llama on your local machine allows for private, offline inference and experimentation.

It should probably come as no surprise to anyone that the images which we look at every day – whether printed or on a display – are simply illusions. That cat picture isn’t ...

Abstract: Vector quantization is a viable solution to the problem as to full utilization of randomness provided by statistically dependent channel measurements in secret key extraction from randomly ...

From computer-using AI agents to autonomous vehicles, we have compiled some of the most powerful real-world AI agents examples in 2025.

Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as ...

For 4-bit quantization, SVDQuant constantly shows great perceptual similarity accompanied with high-quality numerical constructs that can be preserved for any image generation task throughout with a ...

Upon looking through the docs on Quantization, some API example code provided throw errors as they are either outdated or incomplete such as: import torch from torch.ao.quantization import ( ...