How to build a Multi Model Chatbot w OpenAI Grok Llama 3.1 Claude Sonet 3.5 Gemini
🚀 *Langchain LangServe & Streamlit: Multi Model Chatbot w/ OpenAI Grok, Llama 3.1, Claude, Sonet 3.5, Gemini*
Welcome to this comprehensive guide where I walk you through building a powerful multi-model chatbot using **Langchain, LangServe, and Streamlit**. This video is a must-watch for developers looking to integrate multiple LLM APIs into a single chat interface. By the end of this tutorial, you'll have a complete understanding of how to set up Langchain and LangServe with Poetry, integrate various LLMs, and build a user-friendly Streamlit frontend where users can interact with different models such as OpenAI Grok, Llama 3.1, Claude, Sonet 3.5, and Gemini.
📌 *What You'll Learn:*
1. **Langchain and LangServe Setup**:
Detailed installation and configuration using Poetry.
Setting up environment variables and ensuring all dependencies are properly configured.
2. **Integrating Multiple LLMs**:
How to integrate OpenAI Grok, Llama 3.1, Claude, Sonet 3.5, and Gemini into your Langchain setup.
Writing the API code to handle requests and responses for each LLM.
3. **Building the Streamlit Frontend**:
Creating a user-friendly interface where users can choose between different models.
Implementing the chat functionality to interact with the chosen model in a single session.
Displaying responses in a clean and structured format.
4. **Comprehensive Code Walkthrough**:
Detailed explanations of the Langchain/LangServe setup and the Streamlit frontend code.
Best practices for writing clean, efficient, and maintainable code.
🎯 *Why Watch This Video?*
**Comprehensive Guide**: This video provides a detailed walkthrough of setting up a multi-model chatbot using Langchain, LangServe, and Streamlit.
**Hands-On Experience**: Follow along with practical examples and real-world use cases.
**Enhance Your Skills**: Perfect for developers looking to enhance their knowledge in AI and multi-model integration.
**Optimize Performance**: Learn how to configure LangServe for optimal performance with multiple LLMs.
*For JavaScript/TypeScript Developers:*
"This series is particularly valuable for JavaScript/TypeScript developers aiming to transition into Python-based AI development. It serves as an effective bridge, offering practice exercises with both Python and OpenAI API to enrich your programming toolkit."
Don't miss out on this detailed and informative tutorial that will elevate your AI development skills. Like, comment, and subscribe for more amazing content! 🚀
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