The Simplest Possible AI Web App
A beginner-friendly guide to building your first AI-powered web application with minimal complexity. Learn the fundamentals of integrating AI APIs into web applications.
New writing on building calm, capable software.
A beginner-friendly guide to building your first AI-powered web application with minimal complexity. Learn the fundamentals of integrating AI APIs into web applications.
Explore how to leverage Ruby and Rails for AI application development. Practical examples and best practices for integrating machine learning models with Ruby on Rails.
Demystifying the AI technology stack from infrastructure to applications. A comprehensive guide to understanding how different layers of AI systems work together.
Can we really do RAG with a single-file architecture? Learn how to perform retrieval-augmented-generation using SQLite with the sqlite-vec extension and OpenAI API.
On the virtues of radical simplicity. Why SQLite is rapidly becoming a production-ready database for web applications and machine learning.
Adding evaluation, automated data pulling, and other improvements to take a film recommendation RAG app from development to production.
How to create a production-grade pipeline for object detection, bridging the gap between data science development and production deployment.
RAG + Filtering with Metadata = Great Movie Recommendations. Build a film recommendation system using self-querying retrieval.
Object detection using the power and simplicity of the KerasCV library. A comprehensive guide to building an end-to-end object detection pipeline.
How can you get a computer to distinguish between different types of objects in an image? A step-by-step guide to U-Net architecture and implementation.