Deep dive - Better Attention layers for Transformer models
38:47
Deep Dive: Compiling deep learning models, from XLA to PyTorch 2
36:12
Deep Dive: Optimizing LLM inference
44:06
LLM inference optimization: Architecture, KV cache and Flash attention
1:01:31
MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
57:06
Prof. Dr. Ahmet Arslan ile 'Din ve Bilim' | Pınar Sabancı ile Merak Ediyorum
26:52
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote
1:00:25
Flash Attention 2.0 with Tri Dao (author)! | Discord server talks
47:26