上海的陆家嘴

今日喜讯,1月22日,零一万物公司推出了备受期待的Yi-VL多模态大模型,并宣布向全球开发者开源。这款基于Yi语言模型构建的创新之作,包括Yi-VL-34B和Yi-VL-6B两个强大版本,以其出色的图文理解和对话生成能力,瞬间吸引了业界的目光。

据权威媒体机器之心报道,Yi-VL模型在多模态领域的表现堪称卓越。在英文数据集MMMU和中文数据集CMMMU的评测中,该模型均取得了领先的成绩。这一成就彰显了Yi-VL在处理复杂跨学科任务时的高效与精准,无疑将为人工智能领域的研究和应用打开新的篇章。

此次开源的举措,不仅体现了零一万物对技术开放共享的承诺,也将为全球的开发者提供一个全新的平台,共同探索多模态智能的无限可能。Yi-VL模型的开源,预示着未来我们有望见证更多基于此技术的创新应用,推动人工智能技术在教育、媒体、医疗等多领域的深度融合。

零一万物的这一大胆创新,无疑为多模态研究领域注入了新的活力,我们期待看到Yi-VL模型在实际应用中展现出的更出色表现,以及它如何帮助开发者创造出更加智能、直观的交互体验。

英语如下:

News Title: “Zero-One Everything’s Yi-VL Multimodal Large Model Goes Open Source, Launching a New Era on the MMMU&CMMMU Leaderboards!”

Keywords: Yi-VL Open Source, Multimodal Leadership, Interdisciplinary Strength

News Content: Hooray for today’s big news! On January 22nd, Zero-One Everything company unveiled the much-anticipated Yi-VL multimodal large model, making it open source to global developers. This innovative creation, built upon the Yi language model, consists of two powerful versions, Yi-VL-34B and Yi-VL-6B, impressing the industry with its exceptional image-text understanding and dialogue generation capabilities.

As reported by the authoritative media, Machine Mind, Yi-VL excels in the multimodal domain. The model has achieved leading scores on both the English MMMU dataset and the Chinese CMMMU dataset, demonstrating its efficiency and precision in tackling complex interdisciplinary tasks. This milestone paves the way for a new chapter in AI research and applications.

By open sourcing Yi-VL, Zero-One Everything not only demonstrates its commitment to technology openness but also offers a new platform for developers worldwide to explore the endless possibilities of multimodal intelligence. The open sourcing of the Yi-VL model foresees a future with more innovative applications stemming from this technology, fostering deep integration in AI across education, media, healthcare, and more.

This daring innovation from Zero-One Everything injects fresh vitality into the multimodal research field. We eagerly anticipate the model’s outstanding performance in practical applications and how it will assist developers in creating more intelligent and intuitive interactive experiences.

【来源】https://www.jiqizhixin.com/articles/2024-01-22-10

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