Mastering RAG: Revolutionize Your Tech Learning with Retrieval-Augmented Generation

Dive into the world of Generative AI and master the revolutionary Retrieval-Augmented Generation (RAG) technique! Eagerly waiting to revolutionize your tech learning? Now's your chance! 🚀

Join us in this detailed session as we embark on mastering RAG, a cutting-edge concept in AI education, that combines the power of generative models with the efficiency of retrieval systems. Whether you're a beginner or an experienced practitioner, this video will guide you through practical applications and benefits of RAG using OpenAI, Langchain, and Streamlit.

Unlock the power of RAG to enhance your AI projects! Learn how to handle large language models, integrate custom data, and overcome challenges like hallucination problems. We'll also explore ARIMA models and time series forecasting to give you a comprehensive understanding of AI techniques.

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Let's unlock the future of AI together. Happy learning! 🎉

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CHAPTERS:
0:00 - Introduction
18:26 - Large Language Models (LLMs)
59:21 - Resources
1:30:47 - Testing the Final Assistant
3:00:28 - Prompt Engineering
3:31:22 - Creating a New Database in Neo4j
4:01:00 - Architecture of LLMGraphTransformer
4:56:40 - Creating a Hybrid Search Engine using WCD and Sentence Transformers
5:32:39 - Installing Requirements
5:53:10 - LLM Ops Diagram

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Видео Mastering RAG: Revolutionize Your Tech Learning with Retrieval-Augmented Generation канала iNeuron Intelligence