YOLO-Jevois enables open-vocabulary object detection at runtime on the Amlogic A331D-based Jevois Pro AI camera, no dataset or training needed ...

For inference optimization, Post-Training Quantization (PTQ) and Quantization Aware Training (QAT) have achieved significant compression using 4-bit, 2-bit, and even 1-bit quantization. While ...

However, as a large-scale model, the immense memory and computation costs hinder its practical deployment. In this paper, we propose a post-training quantization (PTQ) framework for Segment Anything ...

Scaling models to realistic uses is severely affected by such limitations. Current approaches toward this challenge are pruning, knowledge distillation, and quantization. Quantization, the process of ...

To achieve a better balance between performance and complexity in SCL decoders, non-uniform quantization (NUQ) is commonly employed. NUQ strategically adjusts the quantization steps to improve the ...

[2024.02.05]: KIVI ver. 2 is released on arXiv. [2024.02.03]: KIVI code is released. [2023.12.29]: KIVI ver. 1 is released on researchgate. KIVI is a new plug-and-play 2bit KV cache quantization ...

Abstract: Post-training quantization (PTQ) for vision transformers (ViTs) has received increasing attention from both academic and industrial communities due to its minimal data needs and high time ...

TOPS (trillion operations per second) or higher of AI performance is widely regarded as the benchmark for seamlessly running ...

Microsoft on Wednesday introduced DeepSeek R1 to its extensive model catalog on Azure AI Foundry and GitHub, adding to a ...

Mistral’s model is called Mistral Small 3. The new LLM from the Allen Institute for AI, or Ai2 as it’s commonly referred to, ...

In today’s fast-evolving landscape of artificial intelligence, Aditya Singh, a researcher specializing in distributed ...