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 ...

Deep Learning-based embeddings are used widely for “dense retrieval” in information retrieval, computer vision, NLP, amongst others, owing to capture diverse types of semantic information. This ...

Abstract: Traditional XSS (Cross Site Scripting) scanners typically rely on attack vectors based on expert knowledge and manual testing, which not only incur high costs and long processing times but ...

Abstract: Due to its high precision and flexibility, laser marking bitmap is widely used in medical, food, packaging and building materials, etc. Traditional methods based on ablation time or multiple ...

At Ford Field on Thursday, Amon-Ra St. Brown and the Detroit Lions (7-5) face Javonte Williams and the Dallas Cowboys (6-5-1) in a matchup featuring two of the brightest stars in the NFL, beginning at ...