Post Content
In this video, I’ll show you how to build an end-to-end multi-modal RAG system using GPT-4 and LLAMA Index. We’ll cover data collection, creating vector stores for text and images, and building a retrieval pipeline. Perfect for those interested in enhancing large language models with multi-modal data.
LINKS:
Colabl: https://tinyurl.com/25sb2rtu
Architecture: https://tinyurl.com/4x9x9bsc
Multi-modal RAG – Previous Video: https://youtu.be/Rg35oYuus-w
? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Let’s Connect:
? Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|? Patreon: https://www.patreon.com/PromptEngineering
?Consulting: https://calendly.com/engineerprompt/consulting-call
? Business Contact: engineerprompt@gmail.com
Become Member: http://tinyurl.com/y5h28s6h
? Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
TIMESTAMPS:
00:00 Introduction to Multi-Modal RAG Systems
00:23 Overview of the Architecture
02:57 Setting Up the Environment
03:54 Data Collection and Preparation
04:28 Generating Image Descriptions with GPT-4
08:10 Creating Multi-Modal Vector Stores
09:41 Implementing the Retrieval Pipeline
11:05 Generating Final Responses
All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr
Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw
Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw
AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z Read More Prompt Engineering
#AI #promptengineering
+ There are no comments
Add yours