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Are you ready to dive into the world of cutting-edge natural language processing and open-source innovation? In this tutorial, I'll guide you through the creation of a powerful Question-Answer Generator App using Mistral 7B, a state-of-the-art Large Language Model, and the versatile Langchain framework, all running seamlessly on the CPU. 🚀 📚 What you'll learn: How to harness the power of Mistral 7B, a revolutionary Large Language Model, for generating question-answer pairs from PDF documents. Building a complete open-source application with Langchain as the foundation, perfect for those passionate about NLP and open-source development. Practical applications: Creating datasets for fine-tuning or training Large Language Models, generating quizzes, and enhancing your QA capabilities. 🔧 Key components used in this tutorial: 1. Sentence Transformers Model for efficient vector embeddings. 2. Faiss CPU for in-memory vector stores, ensuring blazing-fast performance. 3. FastAPI as the robust backend framework for seamless data processing. Jinja2 for template rendering, making your app's user interface dynamic and user-friendly. 👨💻 Whether you're a seasoned developer or just starting your journey in the world of Generative AI, this tutorial will equip you with the knowledge and tools needed to create your own Question-Answer Generator App. Join me as we explore the limitless possibilities of Mistral 7B, Langchain, and open-source stack. 📢 Don't forget to like, share, and subscribe to stay updated with the latest in Gen AI and open-source development. GitHub Repo: https://github.com/AIAnytime/Question... LLM Playlist: • Large Language Models QA Generator App using OpenAI: • Question and Answer Generation App us... #generativeai #langchain #llm