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#genai #ai #python #llama What if AI could help you find answers to life's biggest questions—straight from the Bhagavad Gita? In this video, I’ll show you how to build an AI-powered spiritual guide using Retrieval-Augmented Generation (RAG) and the LLaMA model, all running locally on your system—no API keys required! 💡 What you’ll learn in this video: ✅ How to process the Bhagavad Gita for AI retrieval ✅ How to avoid hallucination in AI-generated responses ✅ How to use embeddings and similarity search for better answers ✅ How to build a RAG-powered AI assistant step by step 🔥 Don’t forget to LIKE, SUBSCRIBE 📌 GitHub Code: https://github.com/mohan696matlab/NLP 📌 1:1 AI Consulting: https://topmate.io/balyogi_mohan_dash... 📌 freelance profile: https://www.upwork.com/freelancers/~0... ============================= 🔗Links🔗 LinkedIn: / balyogi-mohan-dash Google Scholar: https://scholar.google.com/citations?... ============================= Please reach out via email for any questions: [email protected] ============================= LLM videos: part 1: • Simple Guide to Training Small LLMs |... part 2: • How AI Models Learn to Follow Prompts... part 3: • How to Use Meta’s LLaMA Model – Step-... Whisper videos: part 1: • Master Fine-Tuning OpenAI Whisper wit... part 2: • Word Error Rate in Atomatic Speech Re... part 3: • Fine tuning Whisper with Pytorch (Si... TIMESTAMPS 0:00 - What is AI's role in answering questions from the Bhagavad Gita? 0:32 - How does AI provide responses using Gita quotes? 1:14 - Why is Retrieval-Augmented Generation (RAG) important for AI? 2:41 - How does chunking the text improve search efficiency? 3:53 - What is the process of creating a vector database for Gita verses? 4:47 - How does similarity search work to find relevant information? 5:38 - Why is finding relevant Gita verses crucial for answering user queries? 7:03 - How AI generates an answer to the question "Why does God allow suffering?"