Скачать с ютуб The Flash Attention Algorithm Implemented on Modern GPUs | Short Sequence Length в хорошем качестве

The Flash Attention Algorithm Implemented on Modern GPUs | Short Sequence Length

Welcome to another deep dive into the world of neural networks! In this video, we demystify the powerful Attention Algorithm, a key component of Neural Transformers architectures. If you've ever wondered how models like BERT and GPT-3 capture contextual information effectively, this is the video for you. 🔍 What You'll Learn: An implementation of the Flash Attention Algorithm for a single Attention Head on GPUs with fast SRAM memory and relatively slow HBM Memory 📌 Resources: @inproceedings{dao2022flashattention, title={Flash{A}ttention: Fast and Memory-Efficient Exact Attention with {IO}-Awareness}, author={Dao, Tri and Fu, Daniel Y. and Ermon, Stefano and Rudra, Atri and R{\'e}, Christopher}, booktitle={Advances in Neural Information Processing Systems}, year={2022} } @article{dao2023flashattention2, title={Flash{A}ttention-2: Faster Attention with Better Parallelism and Work Partitioning}, author={Dao, Tri}, year={2023} } 👍 Don't forget to like, share, and subscribe for more in-depth explorations into the fascinating world of AI and Machine Learning! 🚨 Stay tuned for more exciting content! #NeuralNetworks #AttentionAlgorithm #MachineLearningExplained #AI #Transformers #DeepLearning #TechExplainer #EducationalVideo