CLIP: Learning Transferable Visual Models From Natural Language Supervision
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CLIP: Learning Transferable Visual Models From Natural Language Supervision
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About this listen
When AI Learned to See:
In this fourth episode of AI Papers Explained, we explore Learning Transferable Visual Models From Natural Language Supervision — the 2021 OpenAI paper that introduced CLIP.After Transformers, BERT, and GPT-3 reshaped how AI understands language, CLIP marked the moment when AI began to see through words.By training on 400 million image-text pairs, CLIP learned to connect vision and language without manual labels.
This breakthrough opened the multimodal era-leading to DALL·E, GPT-4V, and Gemini.
Discover how contrastive learning turned internet captions into visual intelligence.
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