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 ...
Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback