Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can cut key-value cache memory by about 4x in their tests while reporting no ...

Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision ...