Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

🚀 Course Title: Learn LangChain: Build Real World LLM Apps using OpenAI & Llama 2 🌟

🎉 Course Headline: Build Web Apps with Streamlit. Master LangChain, OpenAI, Llama 2, and Hugging Face to create generative AI applications that can revolutionize the way you interact with data! 🚀

Course Description:

Why Take This Course?

• Hands-on Experience: Engage with practical projects that will sharpen your expertise.
• Diverse Applications: From chatbots to content summarizers, learn to build a variety of applications using LLMs.
• Skill Development: Gain knowledge on LangChain components, embeddings, vector databases, and more.
• Industry-Relevant Tools: Utilize OpenAI's models, Llama 2, Hugging Face, Streamlit, Gradio, FAISS, Pinecone, and ChromaDB to build your applications.
• Flexible Learning: Access course materials at your own pace, from anywhere in the world.

Project Highlights:

1. 🤖 Simple Chatbot with Llama 2 and LangChain - Your first step into AI chatbots.
2. 📄 PDF Chat App (GUI) | ChatGPT for Your PDF File - An interactive Streamlit application to chat with your PDF documents using LangChain and OpenAI.
3. 🚀 YouTube Script Writing App - Easily create titles and scripts for YouTube videos with the help of LangChain and OpenAI.
4. 🎫 MCQ Quiz Creator App - A seamless tool to create engaging quizzes using LangChain and OpenAI/Hugging Face.
5. 📖 Chat with Multiple PDF Documents | Streamlit Application - Chat with your PDF documents using LangChain and OpenAI.
6. 🛠️ Support Chat Bot For Your Website - A helpful bot to assist visitors or customers on your website.
7. 🍿 YouTube Video Summarizer - A tool that transforms the way you consume YouTube content using LangChain and OpenAI.
8. 📄 Summarize PDF Using LangChain, OpenAI, and Gradio - A web interface to summarize PDF files using advanced AI technologies.
9. 🌐 PrivateGPT - Run Llama 2 on your CPU and create a web app with Gradio for private use.
10. 📊 Source Code Analysis with LangChain, OpenAI, and ChromaDB - Analyze codebase using AI to improve your development workflow.

Course Content:

• LangChain Components: Dive deep into LLM wrappers, Prompt Templates, Chains, Agents, Memory, and Document Loaders.
• Embeddings and Vector Databases: Learn how to integrate embeddings and work with vector databases to enhance your applications.
• Practical Applications: Build scalable and performant AI applications with LangChain and a variety of other tools and libraries.

🎓 Who is this course for?

• Developers looking to expand their knowledge in AI and machine learning.
• Data scientists aiming to build interactive and powerful AI applications.
• Entrepreneurs or product managers who want to integrate AI into their products or services.
• Anyone interested in the latest advancements in AI, language models, and natural language processing (NLP).

Join us on this exciting learning journey to unlock the full potential of LangChain, OpenAI, Llama 2, and Hugging Face, and become an expert in building next-generation AI applications with Streamlit! 🌟🚀