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Alibaba Launches Qwen Intelligence Full-Stack Solution for AI Phones

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88Z AI, 23 September — Alibaba has released Qwen Intelligence, a non-hardware full-stack AI solution for phone manufacturers. It includes scenario-optimized models, a customizable platform, and three core agents, significantly improving task execution efficiency and generation speed.

At a glance

  • Alibaba provides a non-hardware full-stack solution with optimized models, a customizable platform, and vertical agents.
  • Three agents boost efficiency: low-cost task decomposition, high-success automated operations with reduced latency, and 3-second initial image generation.
Cover image for Alibaba Launches Qwen Intelligence Full-Stack Solution for AI Phones
Cover image for Alibaba Launches Qwen Intelligence Full-Stack Solution for AI Phones

The update

Alibaba has officially launched Qwen Intelligence, a full-stack artificial intelligence solution for the smartphone industry. The solution explicitly avoids hardware manufacturing, focusing instead on providing mobile-optimized models, customizable platforms, and vertical domain agents to phone manufacturers. The core of the solution includes three agents: Mobile Planner handles task decomposition and memory management, costing approximately $2.41 per thousand tasks; Mobile-Use employs an "API-first, GUI fallback" strategy for automated operations, achieving a 90% end-to-end success rate while reducing latency by 28.8%; and Mobile Creative focuses on lightweight content generation, capable of creating initial images within three seconds. This combination aims to empower terminal devices through software and services, enhancing user experience and development efficiency.

Sources & editorial note

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.

  1. 千问大模型Source published

Source dates above refer to the original announcements; the date under the headline is this article’s publication on 88Z AI.

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