LangGraph Distributed Agents: Building Next-Generation Multi-Agent AI Systems
1 months ago 高效码农As artificial intelligence rapidly evolves, single-agent systems increasingly struggle to handle complex real-world tasks. Multi-agent systems have emerged as a solution, enabling sophisticated problem-solving through specialized collaboration. Today, we explore a distributed agent framework built on LangGraph that uses Redis as a message broker, allowing multiple AI agents to work together seamlessly and providing a robust foundation for scalable multi-agent AI systems. What Are Distributed Agent Systems? Imagine a company where experts from different departments work together through efficient communication to complete complex projects. Distributed agent systems adopt this very concept, organizing multiple specialized AI agents where each focuses on …
Designing a 100M User Short Video System: TikTok-Scale Architecture Secrets
6 months ago 高效码农How to Design a Short Video Streaming System for 100 Million Users? Decoding High-Concurrency Architecture Through TikTok-Style Feeds Video Streaming Architecture Diagram I. Why Rethink Video Streaming Architecture? With modern users spending over 2 hours daily on short videos, a system serving 100 million users must handle: 100,000+ video requests per second Tens of thousands of interactions (likes/comments/shares) per second Petabyte-scale video data transmission simultaneously Traditional content delivery systems face three core challenges: Instant Response: Generate personalized recommendations within 500ms Seamless Experience: Zero latency during swipe transitions Dynamic Adaptation: Balance cold starts for new users with high-frequency access for active …
Mastering PyTorch Distributed Training: The Ultimate TorchTitan Guide for LLMs
7 months ago 高效码农TorchTitan: A Comprehensive Guide to PyTorch-Native Distributed Training for Generative AI Figure 1: Distributed Training Visualization (Image source: Unsplash) Introduction to TorchTitan: Revolutionizing LLM Pretraining TorchTitan is PyTorch’s official framework for large-scale generative AI model training, designed to simplify distributed training workflows while maximizing hardware utilization. As the demand for training billion-parameter models like Llama 3.1 and FLUX diffusion models grows, TorchTitan provides a native solution that integrates cutting-edge parallelism strategies and optimization techniques. Key Features at a Glance: Multi-dimensional parallelism (FSDP2, Tensor Parallel, Pipeline Parallel) Support for million-token context lengths via Context Parallel Float8 precision training with dynamic scaling …
NSQite Message Queue: Simplifying Event-Driven Architecture in Go with SQLite Backend
8 months ago 高效码农What is NSQite: A Lightweight Message Queue Solution in Go In today’s world of software development, message queues play a vital role in building robust and scalable applications. They help decouple services, improve system resilience, and enable asynchronous communication between components. While large-scale distributed message queue systems like NSQ, NATs, and Pulsar are popular, they might be overkill for early-stage projects. This is where NSQite comes into play. As a lightweight message queue implemented in Go, NSQite supports SQLite, PostgreSQL, and ORM for persistent storage, offering a simple yet reliable solution for basic message queue needs. Advantages of NSQite Simplicity …