84 related articles

How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.

A deep dive into AI Agent Loops: from single loops to multi-agent collaboration. Master goal definition, validation mechanisms, and stop conditions to avoid blindly building agent fleets.

Most AI agents never make it past the demo stage. This guide covers four production-grade agent patterns—workflow orchestration, policy-constrained execution, anomaly handling, and load routing—to help teams build reliable agent systems.

A deep dive into LangGraph multi-agent architecture — covering hierarchical, network, and pipeline patterns with three hands-on projects using LangGraph 0.3.

A systematic breakdown of LangChain's six core modules (Models/Prompts/Chains/Memory/RAG/Agent) and LangGraph's state graph, persistence, and HITL — with production deployment tips.

Model training failure is the norm in research, not the end. Using a real DiT fine-tuning failure on weather radar as a case study, this guide offers a systematic three-layer debugging methodology — data, training convergence, and evaluation — to help deep learning practitioners diagnose issues and iterate efficiently.
Evaluating General-Purpose Robot Polic…
How do you scientifically evaluate general-purpose robot policies for real-world deployment? This article breaks down evaluation challenges, task design, generalization testing, and the sim-to-real gap.

An in-depth analysis of the AI-driven software testing paradigm: with Skill and CLI as the core hub, supporting both platformized management and digital employees, helping testing teams transform from script writers into capability builders.

An in-depth breakdown of the 7 major attack techniques against AI agents (prompt injection, data poisoning, image attacks, etc.) and a five-layer defense system, with real cases from Doubao and DeepSeek.

A user's American Express card was auto-charged 171 times by an AI service, totaling nearly $1,800 with no warning. This article analyzes pay-as-you-go risks and offers practical protection: spending limits, virtual cards, and automation monitoring.

A complete walkthrough of training machine learning models from scratch—covering problem definition, data preprocessing, algorithm selection, hyperparameter tuning, and evaluation, with tool recommendations for beginners.

A Catholic nun was arrested by ICE outside a Texas church en route to Mass, drawing bipartisan intervention. The case exposes the systemic clash between Trump's immigration enforcement and religious freedom after sensitive location protections were rescinded.

OpenAI announces GPT-5.6 Sol Ultra coming to Codex and its most powerful real-time voice model yet, GPT Realtime 2.1; Tencent's Toast lands on iOS; Anthropic finds brain-like structures in Claude.

OpenAI's flagship GPT-5.6 advances on three fronts—Sol, Kara, Luna tiered rollout; ByteDance CGN 5.0 Pro and Meta Muse push image generation toward controllable workflows; AI coding agents expose new supply chain risks.

Why doesn't the ML community cap submission counts? This deep dive explores the cultural roots, career pressures, and authorship complexities behind the peer review quality crisis, and examines viable solutions like quotas and mandatory reviewing.

In the age of AI-assisted programming, how do you make tools like Codex and Claude Code output more stably? This article deeply analyzes SuperPowers and GStack, covering project-level orchestration and module-level code layering to help developers master AI coding.

MIRA is an interactive world model project for the multiplayer competitive game Rocket League, exploring how neural networks simulate multi-agent interaction and complex physics. An in-depth look at its significance, challenges, and prospects.

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

Explore the core features and use cases of the free Mermaid Diagram Editor. Supporting flowcharts, sequence diagrams, Gantt charts and more, it follows the 'diagrams as code' philosophy to enable version-controlled technical documentation for developers and architects.