Neural network model can improve understanding of human attention
Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person ...
Semiconductor Engineering16h
HW-Aligned Sparse Attention Architecture For Efficient Long-Context Modeling (DeepSeek et al.)
Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington. Abstract “Long-context modeling is crucial for next-generation ...
GitHub8d
LLM Benchmark for Throughput via Ollama (Local LLMs)
On Windows, Linux, and macOS, it will detect memory RAM size to first download required LLM models. When memory RAM size is greater than or equal to 4GB, but less than 7GB, it will check if gemma:2b ...
Interesting Engineering on MSN12d
World’s first quantum large language model launched, can shape future of AI
A UK-based firm has launched the world’s first quantum large language model (QLLM). Developed by SECQAI, the QLLM is claimed to be capable of shaping the future of AI. The company integrated quantum ...
Frontiers16d
Deep Learning-Based Identification of Maize Leaf Diseases Is Improved by an Attention Mechanism: Self-Attention
of information between local regions with an attention mechanism, and finally integrates global information to make the classification. The results show that our model achieves the best performance ...
IEEE20d
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction
Abstract: Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate. Early detection and prevention of HF could significantly reduce its impact. We introduce ...
marktechpost21d
TensorLLM: Enhancing Reasoning and Efficiency in Large Language Models through Multi-Head Attention Compression and Tensorisation
Researchers at Imperial College London introduced a novel framework to enhance the reasoning abilities of LLMs by compressing the Multi-Head Attention (MHA) block through multi-head tensorisation and ...
moneycontrol.com21d
DeepSeek's LLM success triggers big debate: Is India's hesitation a strategic mistake?
A heated debate has been sparked on whether India should build use cases on top of existing Large Language Models (LLM) versus building ... The biggest casualty was Graphics Processing Unit ...