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| Name | Chat with MySQL Database using GPT-4 and Mistral AI | Python GUI App |
| Video Uploader | Video From Alejandro AO - Software & Ai |
| Upload Date | This Video Uploaded At 18-03-2024 21:03:02 |
| Video Discription | Build a Natural Language SQL Chatbot with GPT-4 and Mistral AI: A Complete Tutorial This is a tutorial on building a natural language SQL chatbot using GPT-4 and Mistral. This chatbot isn't just any chatbot; it's designed to communicate with a SQL database in natural language. In this detailed video, we cover everything from setting up your development environment to integrating OpenAI's powerful GPT-4 model for generating SQL queries based on natural language input. Whether you're a beginner or an experienced developer, you'll find valuable insights into developing applications that interact with Large Language Models. ### Links ☎️ Get something like this for your company: https://link.alejandro-ao.com/consulting-call ### Tutorial Resources 🐱 GitHub repository: https://github.com/alejandro-ao/chat-with-mysql 📌 Post with Notebook and explanation of the MySQL Chain: https://alejandro-ao.com/chat-with-mysql-using-python-and-langchain/ ### Community ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq 💬 Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn ✉️ Get the Newsletter: https://link.alejandro-ao.com/AIIguB -------------------- ## Key Highlights - Creating the Chat Interface: Learn how to set up a user-friendly chat interface that allows users to ask questions in natural language. - SQL Query Generation: Discover how to utilize GPT-4 to generate SQL queries from natural language questions. - Database Interaction: Get hands-on experience connecting to a SQL database, running generated queries, and interpreting the results. - Enhancing User Experience: Explore how to implement conversational memory for follow-up questions, making your chatbot smarter and more intuitive. - Tech Stack Deep Dive: Dive deep into the technologies used, including Python, Streamlit for the frontend, LangChain for integrating language models, and SQL Alchemy for database management. By the end of this tutorial, you'll have a fully functional SQL chatbot that can interpret natural language queries, generate corresponding SQL queries, and fetch and interpret results from a music store database. This project is not just a fantastic addition to your portfolio but also a solid foundation for developing advanced AI-driven applications. Whether you're aiming to impress potential employers, showcase innovative projects to your clients, or simply share your creations with friends, this tutorial equips you with the skills and knowledge needed to stand out in the tech world. Don't forget to like, share, and subscribe for more tutorials on the latest software technologies. Join our Discord server for community updates and discussions on the fascinating world of Large Language Models. Let's embark on this journey together and unlock the full potential of AI in application development! 🚀 Timestamps: 0:00 Introduction 2:21 Setting Up the Project 5:39 Build the GUI 11:10 Integrating the Database 17:49 SQL Chain Diagram 20:28 Make chat interactive 27:09 Create SQL Chain 38:43 Create Full Chain 50:05 Runnables 53:45 Add Mistral AI Model and Test 59:53 Conclusion #SQLChatbot #GPT4Tutorial #AIProgramming #SoftwareDevelopment #PythonTutorial #OpenAI #Streamlit #LangChain #SQLAlchemy #TechTutorial |
| Category | Education |
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