Generative AI from Basic to Advance - Realtime Multimodal RAG Usecase with Google Gemini-Pro-Vision and Langchain | RAG Application #rag

Master Generative AI: From Basics to Breakthroughs in AI Models and RAG Systems

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26 learners

What you'll learn

Understand the evolution of generative AI from classical to modern techniques
Apply RAG and LangChain for building scalable AI applications
Implement end-to-end pipelines using LlamaIndex and LLM fine-tuning methods
Deploy AI models with CI/CD pipelines and container orchestration tools

This course includes

124.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

multimodal rag rag app rag application rag tutorial rag system multimodal ai gpt4-v llm lancedb vectordatabase video processing python programming

Full Transcript

"Explore real-time RAG with Google Gemini and Langchain, demonstrating advanced multimodal applications and integration for dynamic AI-driven solutions." Don’t forget to like and subscribe for more tutorials! #multimodalai #multimodalrag #llm #embedding #ai #rag #futureai #generativeai #genai #textgeneration #multivectorretrival #ragapp #langchain #gemini #googlegemini Don't miss out; learn with me! P.S. Don't forget to like and subscribe for more AI content! Material Link: https://github.com/sunnysavita10/Generative-AI-Indepth-Basic-to-Advance Google Form For Suggestion and Feedback : https://forms.gle/1Ut21yM2ednvpbS66 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds