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Ollama just added support for llama3.2 vision models. This enables models to see and process images. In this video, I will walk you through a step by step process on how to set up the vision models with Ollama and use it in a RAG system for retrieval augmented generation.
LINKS:
https://ollama.com/blog/llama3.2-vision
Multimodal RAG: https://youtu.be/YPs4eGDpIY4
LocalGPT-Vision: https://github.com/PromtEngineer/localGPT-Vision
💻 RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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00:00 Introduction to OLAMA’s New Vision Model Support
00:50 Setting Up OLAMA for Vision Models
01:55 Running and Testing Vision Models
03:18 Advanced Testing and Jailbreaking
06:00 Practical Use Cases and Python SDK Integration
07:38 Multimodal RAG
10:09 localGPT-Vision
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
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