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Qwen unveils Qwen-VLA for embodied AI action

Qwen has introduced Qwen-VLA, a multimodal large language model designed for embodied intelligence. This model goes beyond simply understanding visual information like images and videos, aiming to enable agents to act within the real world. Qwen-VLA is positioned as a step towards creating agents that can not only perceive but also interact with their environment. AI

IMPACT Enables AI agents to move from understanding to acting in the real world, a key step for embodied intelligence.

RANK_REASON New multimodal model release from a frontier lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Qwen tech blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen unveils Qwen-VLA for embodied AI action

COVERAGE [1]

  1. Qwen tech blog TIER_1 English(EN) · QwenTeam ·

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

    Over the past few years, multimodal large language models have become increasingly capable of understanding images, videos, and real-world scenes. They can recognize objects, reason about spatial relationships, answer visual questions, and solve complex multimodal reasoning tasks…