Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...