AI Claude 3.5 Sonnet LLM: Combining SQL Databases and Image Analysis with Chainlit
Welcome to our deep dive into AI Claude 3.5 Sonnet LLM! In this video, we explore the powerful capabilities of this advanced language model in integrating SQL databases and performing image analysis. We will guide you though creating an intelligent tool that combines SQL query generation and image analysis using Python, SQLite, and the Anthropic Claude 3.5 LLM.
_*What You'll Learn:
🔗Setting up the AI Claude 3.5 Sonnet LLM
🔗Connecting to a SQL database and retrieving the schema
🔗Generating SQL queries based on natural language questions
🔗 Create WebUI Interface using Chainlit Framework
🔗Encoding and sending images for analysis
🔗Extracting useful information from images and storing it in JSON format
Whether you're a data scientist, developer, or AI enthusiast, this video provides practical insights into leveraging AI Claude 3.5 for data analysis and image processing tasks.
Code Repository:
Find the complete code used in this video on our GitHub repository
https://github.com/AbhisheakSaraswat/...
⏰ _*Time Stamp
00:00 Introduction to Claude 3.5 Sonnet
00:38 Application and Development Walkthrough
00:58 Setting Up the API Key as an Environment Variable with a PyGame Example
04:15 Setting Up the SQLite Database and Its Tables
06:30 Interacting with the LLM (Claude 3.5 Sonnet) for SQL Query Generation
16:50 Setting Up the WebUI Interface Using the Chainlit Framework
22:10 Image Analysis: Extracting Image Data Set (in JSON Format)
30:00 Conclusion
Claude 3.5 Sonnet URL : https://www.anthropic.com/news/claude...
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