Browsing: Architecture

Training frontier AI models is, at its core, a coordination problem. Thousands of chips must communicate with each other continuously, synchronizing every gradient update across the…

For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA networks that make modern LLM serving…

The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more tokens.…

Z.ai is out with its next-generation flagship AI model and has named it GLM-5.1. With its combination of extensive model size, operational efficiency, and superior reasoning…

The evolution of artificial intelligence from stateless models to autonomous, goal-driven agents depends heavily on advanced memory architectures. While Large Language Models (LLMs) possess strong reasoning…

In this tutorial, we build an advanced multi-agent communication system using a structured message bus architecture powered by LangGraph and Pydantic. We define a strict ACP-style…

A few years ago, generating an image from text felt magical. Then text-to-video turned prompts into moving scenes. Now models generate complete video sequences without cameras,…

The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and memory bottlenecks,…

Swarm architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by natural swarms, it pairs a Data Analyst agent for processing…

For those who haven’t upgraded, Apple’s support document outlines what you need to do: Make sure every device you plan to use the Home app on…