点击上方“Deephub Imba”,关注公众号,好文章不错过 !本文实现 FlashAttention-2 的前向传播，具体包括：为 Q、K、V 设计分块策略；流式处理 K 和 V 块而非物化完整注意力矩阵；实现在线 softmax ...

NVIDIA's Skip Softmax in TensorRT-LLM offers up to 1.4x faster inference for LLMs by optimizing attention computation, enhancing performance on Hopper and Blackwell architectures. NVIDIA has unveiled ...

Learn how Log Softmax works and how to implement it in Python with this beginner-friendly guide. Understand the concept, see practical examples, and apply it to your deep learning projects.

Abstract: An increase in interest in Deep Neural Networks can be attributed to the recent successes of Deep Learning in various AI applications. Deep Neural Networks form the implementation platform ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

The ability to generate accurate conclusions based on data inputs is essential for strong reasoning and dependable performance in Artificial Intelligence (AI) systems. The softmax function is a ...