谷歌 DeepMind 推出千億級視覺語言數據集 WebLI-100B
谷歌 DeepMind 團隊正式推出了 WebLI-100B 數據集，這是一個包含1000億個圖像 - 文本對的龐大數據集，旨在增強人工智能視覺語言模型的文化多樣性和多語言性。通過這一數據集，研究人員希望改善視覺語言模型在不同文化和語言環境下的表現，同時減少各個子組之間的性能差異，從而提升人工智能的包容性。視覺語言模型（VLMs）依賴於大量數據集來學習如何連接圖像與文本，從而執行如圖像字幕生成和視覺問答等任務。過去，這些模型主要依賴於 Conceptual Captions 和 LAION 等大型數據集，雖然這
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