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LLM

Alibaba Cloud to Debut AI-powered Pin Trading Experience in Olympic Village at Milano Cortina 2026

The Intelligent Pin Trading Station blends one of the Games’ best-loved traditions with voice- and gesture-enabled interaction.

Pushing Qwen3-Max-Thinking Beyond its Limits

This article introduces Qwen3-Max-Thinking, a top-tier reasoning model that rivals leading AI systems and features adaptive tool use and advanced test...

Alibaba's Latest Thinking Model Excels at Adaptive Tool Use

This article introduces Qwen3-Max-Thinking, Alibaba’s latest reasoning model that excels in adaptive tool use and advanced test-time scaling to outperform leading AI systems.

Momentum: How Alibaba Cloud Is Leading the New AI Paradigm

At Alibaba Cloud, we're not just delivering technology. We're co-creating a new chapter of AI with the world.

Nacos A2A Registry: AgentScope Enables Cross-Language and Cross-Framework Interoperability

This article introduces how AgentScope leverages the A2A protocol and Nacos Registry to enable cross-language, cross-framework agent interoperability and unified service governance.

Opening an AI Milk Tea Shop with AgentScope Java

This article introduces an AI-powered milk tea shop built with AgentScope Java, showcasing multi-agent collaboration, RAG, long-term memory, and enterprise integrations like Nacos and MCP.

What? My Werewolf Game Skills Are Worse Than AI's?

This article introduces an AI-powered Werewolf game built with AgentScope Java, where agents simulate human-like reasoning, deception, and collaboration—with seamless human-AI gameplay.

MiniMax Builds a Cloud-Native Data + AI Platform with Alibaba Cloud: A Case Study in Scaling Data Infrastructure for the LLM Era

Discover how MiniMax leveraged Alibaba Cloud to build a scalable, cloud-native Data + AI platform powering multimodal LLMs and global user growth.

จากการทดลองทุกความเป็นไปได้สู่ความประณีต: วิวัฒนาการและอนาคตของโครงสร้างพื้นฐานการฝึก AI

บทความนี้จะสำรวจประวัติความเป็นมาอันน่าทึ่งของการฝึก AI ผ่าปัญหาทางตันสำคัญที่มีโอกาสขัดขวางความก้าวหน้า และเจาะลึกอนาคตของโครงสร้างพื้นฐานที่ได้รับกา...

Từ sức mạnh thô mộc đến sự tinh tế: Sự phát triển và tương lai của cơ sở hạ tầng đào tạo AI

Bài viết này khám phá lịch sử đầy biến động của hoạt động đào tạo AI, phân tích những nút thắt then chốt đang đe dọa làm chậm bước tiến, đồng thời phá...

Dari Brute Force menjadi Finesse: Evolusi dan Masa Depan Infrastruktur Pelatihan AI

Artikel ini mengeksplorasi sejarah dramatis pelatihan AI, memecahkan hambatan penting yang mengancam untuk menghambat kemajuan, dan membidik masa depa...

力任せから洗練へ:AI トレーニングインフラの進化と未来

この記事では、AI トレーニングの劇的な歴史を探り、進歩を停滞させる恐れのある重大なボトルネックを分析し、これらの大きな課題を克服するために設計されているインフラストラクチャの未来を調べます。

무차별적인 확장에서 정교함으로: AI 교육 인프라의 진화와 미래

이 글은 AI 훈련의 극적인 역사를 탐구하고, 발전을 저해할 수 있는 중요한 병목 현상을 분석하고, 이러한 거대한 과제를 극복하기 위해 설계되고 있는 인프라의 미래를 살펴봅니다.

Alibaba’s Qwen Powers AI Singapore’s latest LLM to Strengthen Multilingual Performance in Southeast Asia

Alibaba Cloud announced its support for the release of Qwen-SEA-LION-v4, the latest version of a large language model developed by AISG.

Alibaba Cloud Reinforces Commitment to Hong Kong Through New AI Initiatives

Alibaba Cloud announced a series of initiatives at its annual Hong Kong Cloud Summit to accelerate AI adoption and foster innovation across the city.

Ensuring Reliable Voice Activation: How Gongniu Murora Rebuilt Its Observability System

This article explains how Gongniu Murora migrated from the open source SkyWalking monitoring solution to Alibaba Cloud Application Real-Time Monitoring Service (ARMS).

Apsara Conference Insights: Rebuild Observability - Craft a Large Model-driven Cloud Monitor 2.0 and a New AIOps Paradigm

This article introduces how Alibaba Cloud is rebuilding observability and AIOps by using large models, a unified topology (UModel), and an agentic Cloud Monitor 2.

ภูมิทัศน์ของข้อมูลการฝึก LLM ที่มีการพัฒนาอย่างต่อเนื่อง

บทความนี้จะเจาะลึกเกี่ยวกับประวัติการใช้ชุดข้อมูล ประเภทข้อมูลที่จำเป็นในระยะต่างๆ ของการฝึก LLM และความท้าทายที่พบในการจัดหาและการใช้ชุดข้อมูลเหล่านี...

Lanskap Data Pelatihan LLM yang Terus Berkembang

Artikel ini mempelajari lebih dalam sejarah penggunaan himpunan data, jenis data yang diperlukan di berbagai tahap pelatihan LLM, dan tantangan yang d...

LLM トレーニングデータの進化するランドスケープ

この記事では、データセットの使用履歴、LLM トレーニングのさまざまな段階で必要なデータの種類、およびこれらのデータセットの調達と利用で直面する課題について詳しく説明します。