Developing and Serving RAG-Based LLM Applications in Production Published 2023-10-12 Download video MP4 360p Recommendations 32:07 Fast LLM Serving with vLLM and PagedAttention 15:21 Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use 19:52 How to set up RAG - Retrieval Augmented Generation (demo) 45:32 A Survey of Techniques for Maximizing LLM Performance 26:00 Building Corrective RAG from scratch with open-source, local LLMs 11:37 What is RAG? (Retrieval Augmented Generation) 55:19 Emerging architectures for LLM applications 21:33 Python RAG Tutorial (with Local LLMs): AI For Your PDFs 47:09 Llama3 Full Rag - API with Ollama, LangChain and ChromaDB with Flask API and PDF upload 59:14 High-performance RAG with LlamaIndex 15:30 The 5 Types of LLM Apps 23:43 RAG But Better: Rerankers with Cohere AI 2:33:11 Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer 18:35 Building Production-Ready RAG Applications: Jerry Liu 1:10:43 Ray: A Framework for Scaling and Distributing Python & ML Applications 30:28 Enabling Cost-Efficient LLM Serving with Ray Serve Similar videos 06:36 What is Retrieval-Augmented Generation (RAG)? 28:44 Practical Data Considerations for Building Production-Ready LLM Applications 30:23 Building RAG-based LLM Applications for Production // Philipp Moritz & Yifei Feng // LLMs III Talk 24:03 Build a RAG Based LLM App in 20 Minutes! | Full Langflow Tutorial 35:23 Building LLM Applications for Production // Chip Huyen // LLMs in Prod Conference 02:53 Build a Large Language Model AI Chatbot using Retrieval Augmented Generation 59:53 Building Production-Grade LLM Apps 1:12:39 Building a RAG application from scratch using Python, LangChain, and the OpenAI API 24:04 Build and Deploy a RAG app with Pinecone Serverless 29:36 LangChain Templates Tutorial: Building Production-Ready LLM Apps with LangServe 53:15 Building a RAG application using open-source models (Asking questions from a PDF using Llama2) 12:04 LangChain in Production - Microservice Architecture (incl. FastAPI and Docker) 17:49 Deploy LLM App as API Using Langserve Langchain 22:40 Jerry Liu–LlamaIndex – Practical Data Considerations for building Production-Ready LLM Applications More results