Efficient LLM Inference (vLLM KV Cache, Flash Decoding & Lookahead Decoding) Published 2024-03-01 Download video MP4 360p Recommendations 05:15 COMEX: Demo ASE 2023 32:07 Fast LLM Serving with vLLM and PagedAttention 08:33 The KV Cache: Memory Usage in Transformers 20:18 Why Does Diffusion Work Better than Auto-Regression? 55:36 E07 | Fast LLM Serving with vLLM and PagedAttention 24:02 "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 1:06:56 Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh 30:25 Exploring the Latency/Throughput & Cost Space for LLM Inference // Timothée Lacroix // CTO Mistral 25:21 Mixture of Models (MoM) - SHOCKING Results on Hard LLM Problems! 58:58 FlashAttention - Tri Dao | Stanford MLSys #67 49:53 How a Transformer works at inference vs training time 54:38 Writing cache friendly C++ - Jonathan Müller - Meeting C++ 2018 36:12 Deep Dive: Optimizing LLM inference 12:46 Speculative Decoding: When Two LLMs are Faster than One 1:07:12 Gail Weiss: Thinking Like Transformers 33:16 Improving LLM accuracy with Monte Carlo Tree Search Similar videos 1:09:25 Lecture 22: Hacker's Guide to Speculative Decoding in VLLM More results