The Tech That Makes Large Context Possible: FlashAttention & Flash-Decoding
Автор: Clear Tech
Загружено: 2026-01-19
Просмотров: 1
In this video, we dive into the technical breakthrough of FlashAttention and Flash-Decoding—the key technologies solving the "Memory Wall" in modern AI. As Transformer models grow, standard self-attention suffers from quadratic complexity, leading to massive slowdowns and memory bottlenecks.
We explain how FlashAttention uses IO-aware tiling to break data into small blocks that fit within fast SRAM, drastically reducing slow accesses to main GPU memory. We also cover the recomputation techniques and parallelization strategies in Flash-Decoding that are enabling significantly faster training and inference for long-sequence tasks. If you want to know why AI models are getting faster and more capable of handling huge amounts of data, this is the deep dive for you.
#FlashAttention #Transformers #ArtificialIntelligence #MachineLearning #GPUOptimization #TechNews #DeepLearning #AIResearch #ComputerScience #FlashDecoding
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![Как внимание стало настолько эффективным [GQA/MLA/DSA]](https://imager.clipsaver.ru/Y-o545eYjXM/max.jpg)
