Enabling Cost-Efficient LLM Serving with Ray Serve Published 2023-10-12 Download video MP4 360p Recommendations 24:59 Serving Large Language Models with KubeRay on TPUs 32:07 Fast LLM Serving with vLLM and PagedAttention 32:36 Perplexity AI: How We Built the World's Best LLM-Powered Search Engine in 6 Months, w/ Less Than $4M 12:25 How Paris Pulled Off One Of The Cheapest Olympics 29:11 Developing and Serving RAG-Based LLM Applications in Production 45:32 A Survey of Techniques for Maximizing LLM Performance 28:57 Lessons From Fine-Tuning Llama-2 30:25 Exploring the Latency/Throughput & Cost Space for LLM Inference // Timothée Lacroix // CTO Mistral 32:49 From Spark to Ray: An Exabyte-Scale Production Migration Case Study 17:57 Generative AI in a Nutshell - how to survive and thrive in the age of AI 06:36 What is Retrieval-Augmented Generation (RAG)? 36:15 How Spotify Built a Robust Ray Platform with a Frictionless Developer Experience 30:42 Modernizing DoorDash Model Serving Platform with Ray Serve 51:49 Analyzing the Costs of Large Language Models in Production 19:21 SpaceX Finally Finishes Testing! Starship Flight 5 Next! 32:06 Ray Train: A Production-Ready Library for Distributed Deep Learning Similar videos 13:33 Introducing Ray Aviary | 🦜🔍 Open Source Multi-LLM Serving 11:53 Go Production: ⚡️ Super FAST LLM (API) Serving with vLLM !!! 25:14 Efficiently Scaling and Deploying LLMs // Hanlin Tang // LLM's in Production Conference 29:54 Operationalizing Ray Serve on Kubernetes 25:00 KubeRay: A Ray cluster management solution on Kubernetes More results