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AI

Apache RocketMQ 5.5.0 Open Source LiteTopic: Dedicated Channel for Millions of AI Sessions

This article introduces Apache RocketMQ 5.5.0's LiteTopic, a new message model designed for millions of lightweight AI agent sessions with event-driven distribution and session persistence.

AgentScope Java 2.0: Building a Distributed, Enterprise-Grade Foundation for AI Agents

This article introduces AgentScope Java 2.0, an open-source framework for building distributed, enterprise-grade AI agents with production-ready features.

Alibaba Launches Qwen3.7-Plus, AI Swine Diagnosis Assistant and Model Studio CLI

This article introduces the launch of Qwen3.7-Plus multimodal model, an AI swine diagnosis assistant with Muyuan Group, and Model Studio's open-source CLI for AI agents.

How to Manage AI Costs When Developing a Cloud Application on Alibaba Cloud

Running AI on Alibaba Cloud? Here's how teams can control AI costs when developing cloud applications and keep budgets from spiraling.

Triển khai OpenClaw trên Alibaba Cloud ECS kèm tích hợp Telegram

Hướng dẫn từng bước để chạy tác nhân lập trình AI riêng của bạn trên đám mây

ปรับใช้ OpenClaw บน Alibaba Cloud ECS ด้วย Telegram Integration

คู่มือแนะนำทีละขั้นตอนในการรันเอเจนต์ช่วยเขียนโค้ดด้วย AI ของคุณเองในระบบคลาวด์

AI-Powered Dragonwell Native Acceleration: Automatic Discovery of 10x Performance Improvement Opportunities

This article introduces an AI-powered performance analytics system that automatically identifies optimization opportunities in Java/Scala applications

Deploy OpenClaw di Alibaba Cloud ECS dengan Integrasi Telegram

Panduan langkah demi langkah menjalankan AI coding agent Anda sendiri di cloud

Qwen-VLA: From Understanding the World to Acting in It

This article introduces Qwen-VLA, a general-purpose Vision-Language-Action model that extends multimodal perception and reasoning into continuous action generation for embodied intelligence.

Qwen3.7-Plus: Multimodal Agent Intelligence

This article introduces Qwen3.7-Plus — a multimodal agent model that unifies vision and language into a single, versatile agent foundation.

SkillClaw × Nacos: Autonomic Evolutionary Closed Loop from an Agent Session to a Governable Skill Registry

This article introduces how SkillClaw and Nacos combine to create a closed loop for AI Agent skills—from automatic generation in real sessions to governed team-wide distribution.

Evolution of the Agent Developer Paradigm: "Simplifying" Multi-Source Real-Time Context from Environmental Engineering

This article introduces how EventHouse simplifies multi-source, real-time context supply to enable enterprise AI agents to move from demo to production.

When DuckDB Embraces MySQL in the AI Era

AliSQL enhances MySQL with DuckDB-powered analytical instances for high-performance HTAP capabilities while maintaining full MySQL compatibility.

Deep Dive into Source Code: How Hermes Agent Achieves Self-Improving

This article dissects Hermes's source code to see exactly how this Self-Improving loop works. At the end, we'll also discuss how RDSHermes adapts this capability for non-developers.

DeepSeek V4-Flash ในวงกว้าง: คู่มือการนำไปใช้ที่ยึดเกณฑ์มาตรฐานเป็นหลัก

การเลือกวิธีการนำโมเดลภาษาขนาดใหญ่ไปใช้งานจริงนั้น เป็นหนึ่งในการตัดสินใจที่สำคัญที่สุดและซับซ้อนที่สุดสำหรับทีม AI

DeepSeek V4-Flash trên quy mô lớn: Hướng dẫn triển khai dựa trên điểm chuẩn

Chọn cách triển khai mô hình ngôn ngữ quy mô lớn trong môi trường thực tế là một trong những quyết định quan trọng nhất — và gây bối rối nhất — mà một đội ngũ AI có thể đưa ra.

Beyond 'Demo-Grade' Architecture: Building a Highly Available Production Foundation for Dify with SAE × SLS

This article introduces Alibaba Cloud SAE, a serverless platform that simplifies application modernization and accelerates AI deployment with zero node management.

Alibaba & Ant Group LoongSuite GenAI Observability Semantics Specification: From Unified Data Language to Large-scale Implementation

This article introduces LoongSuite GenAI SemConv, a unified observability specification extending OpenTelemetry with enhanced semantics for AI agents, skills, and token-level inference.

Ontology Is Trending Again. Can It Improve My AI Agent's Performance?

This article introduces how ontology provides structured domain knowledge to enhance AI agent accuracy and explainability in enterprise O&M scenarios.