深入探討視覺語言模型 (Vision-Language Models) 的原理與架構
Original: A Dive into Vision-Language Models
This is a classic technical guide written by the Hugging Face team, designed to help developers and researchers gain a deep understanding…
Hugging Face 釋出的這篇技術指南，深入探討了視覺語言模型 (VLM) 的核心架構。文章詳細介紹了 VLM 如何結合圖像與文字編碼器，並剖析了對比學習（如 CLIP）、生成式（如 BLIP、GIT）及多模態融合等三大主流預訓練策略。最後，展示了如何利用 Hugging Face Transformers 庫輕鬆調用這些模型，是理解多模態 AI 的必讀經典。
This is a classic technical guide written by the Hugging Face team, designed to help developers and researchers gain a deep understanding of how Vision-Language Models (VLMs) work and how they are pre-trained.
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