Question Answer Generator App using Mistral LLM, Langchain, and FastAPI
15.1 هزار بار بازدید -
12 ماه پیش
-
Are you ready to dive
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
📚 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
12 ماه پیش
در تاریخ 1402/07/16 منتشر شده
است.
15,150
بـار بازدید شده