Machine Learning with OpenAI API and Relational Database - Caching Requests with SQLite
Eli the Computer Guy via YouTube
Get 20% off all career paths from fullstack to AI
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn to implement machine learning using the OpenAI API and relational databases in this comprehensive tutorial. Explore how to use SQLite as a caching mechanism for OpenAI API requests, optimizing performance and reducing API calls. Discover the importance of caching in AI applications, gain an overview of SQLite, and dive into detailed code explanations. Follow along as the instructor demonstrates how to build a system that stores and retrieves API requests and responses, ultimately creating an efficient AI-powered decision tree for a talking computer using Python, OpenAI API, and Google Speech.
Syllabus
Introduction
How the System Works
Why Cacheing Matters
SQLite Overview
Explaining the Code
Final Thoughts
Taught by
Eli the Computer Guy