Model compression is a key component of real-time deployment of deep learning models. This article explores different approaches to make models more efficient.
Explore this essential reading for devs and security professionals alike: a comprehensive comparison of vulnerability databases to help cut through the noise.
AI microservices, Kubernetes, and Kafka enable scalable, resilient intelligent applications through modular architecture and efficient resource management.
Learn how to use pnpm on Heroku, explore its storage and speed benefits, and see why it’s an ideal choice for Node.js developers. Get started with this guide.
Find out how to utilize the Apache Flink Dashboard for monitoring, optimizing, and managing real-time data processing applications within AWS-managed services.
Do you want to explore real-time apps in Jakarta EE? This article covers the basics of building a real-time chat app using Jakarta WebSocket and Open Liberty.
Some developers shy away from Storybook. Here, gain insight into the integration process, and explore some features that are most beneficial when using Storybook.
Learn how GenAI revolutionizes PI Planning by improving decision-making, tracking, and communication, driving more efficient and agile execution across teams.
One of the most famous compression algorithms is Huffman coding. Here, see an advanced version: a block-based, 2-symbol, two-pass Huffman algorithm in Golang.
Create flashcards: Next.js for the front end, Clerk for user authentication, Firebase for storage, Material UI for an interface, and LLaMA 3.1 for generation.
Start building web apps in the cloud with Project IDX! This guide explores the features of Google's cloud IDE and shows you how to create a new React project.
Optimize vector search in Elasticsearch through dimensionality reduction, efficient indexing, and automated parameter tuning for faster, more accurate results.