谷歌 DeepMind 推出千亿级视觉语言数据集 WebLI-100B
谷歌 DeepMind 团队正式推出了 WebLI-100B 数据集，这是一个包含1000亿个图像 - 文本对的庞大数据集，旨在增强人工智能视觉语言模型的文化多样性和多语言性。通过这一数据集，研究人员希望改善视觉语言模型在不同文化和语言环境下的表现，同时减少各个子组之间的性能差异，从而提升人工智能的包容性。视觉语言模型（VLMs）依赖于大量数据集来学习如何连接图像与文本，从而执行如图像字幕生成和视觉问答等任务。过去，这些模型主要依赖于 Conceptual Captions 和 LAION 等大型数据集，虽然这
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