Deep Dive: Optimizing LLM inference Published 2024-03-11 Download video MP4 360p Recommendations 10:30 Why Neural Networks can learn (almost) anything 3:55:36 Hands-on Workshop on Science DMZ and P4-DPDK (Workshop August 8, day 2, part 1) 30:25 Exploring the Latency/Throughput & Cost Space for LLM Inference // Timothée Lacroix // CTO Mistral 12:46 Speculative Decoding: When Two LLMs are Faster than One 32:07 Fast LLM Serving with vLLM and PagedAttention 13:11 ML Was Hard Until I Learned These 5 Secrets! 25:14 Efficiently Scaling and Deploying LLMs // Hanlin Tang // LLM's in Production Conference 24:02 "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 26:10 Attention in transformers, visually explained | Chapter 6, Deep Learning 10:30 Why The Sun is Bigger Than You Think 1:31:13 A Hackers' Guide to Language Models 45:32 A Survey of Techniques for Maximizing LLM Performance 19:09 Just Happened! Elon Musk LEAKED BIG COPY Tesla Bot Gen 2 Optimus - Figure AI 02, Who Wins? 24:20 host ALL your AI locally 49:53 How a Transformer works at inference vs training time Similar videos 05:34 How Large language Models Work 18:52 TensorRT for Beginners: A Tutorial on Deep Learning Inference Optimization 1:01:45 PyTorch 2.0 Q&A: Optimizing Transformers for Inference 38:25 AI Hardware: Training, Inference, Devices and Model Optimization 59:48 [1hr Talk] Intro to Large Language Models 07:54 How ChatGPT Works Technically | ChatGPT Architecture 58:41 8-bit Methods for Efficient Deep Learning with Tim Dettmers 22:28 PowerInfer: 11x Faster than Llama.cpp for LLM Inference 🔥 03:22 Vector databases are so hot right now. WTF are they? 08:38 Transformers: The best idea in AI | Andrej Karpathy and Lex Fridman 05:01 All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics More results