In Artificial Intelligence (AI), one of the most powerful models for working with images and videos is the Convolutional Neural Network (CNN). CNNs help computers understand visual data — just like humans use eyes and brain to see and recognize objects. CNNs are used in: What is a Convolutional Neural…

Primary keys shape the foundation of your data model. UUIDs are popular because they’re globally unique and easy to generate — but when used as primary keys in relational databases like PostgreSQL or MySQL, they introduce performance costs that most teams don’t realize until production traffic grows. At scale, these…

Modern applications run on structured data — from APIs and event streams to AI pipelines and vector databases. JSON has been the default for decades, but today’s AI workloads reveal its limitations: excessive punctuation, inefficient tokenization, and unnecessary payload size. TOON (Token-Oriented Object Notation) introduces a clean, compact, token-driven way…

Your backend constantly asks the database for the same data, you’re wasting resources and slowing things down. Whether you’re using NestJS, there’s a simple trick to improve performance: enable caching in TypeORM. In this guide. 🧠 What is Caching? Think of caching like short-term memory for your app. 📖 Simple Analogy: You walk into…

Introduction In modern AI-driven applications, maintaining context across different services and models is crucial for efficiency and accuracy. Model Context Protocol (MCP) is a structured approach to managing context between different system components. It ensures that models share relevant information effectively, reducing redundant computations and improving user experiences. What is Model Context…