What is recorded here?
Trained paired image and text encoders contrastively on 400 million web image-text pairs, enabling natural-language specification of zero-shot classifiers across many visual benchmarks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the twelve-author 2021 CLIP paper. Dataset construction, benchmark limitations, biases and later multimodal models remain distinct; zero-shot results do not imply universal visual understanding.
Read the original work
- OpenAI: CLIP, connecting text and images
- Radford et al., Learning Transferable Visual Models From Natural Language Supervision
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Alec Radford; Jong Wook Kim; Chris Hallacy; Aditya Ramesh; Gabriel Goh; Sandhini Agarwal; Girish Sastry; Amanda Askell; Pamela Mishkin; Jack Clark; Gretchen Krueger; Ilya Sutskever
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: United States
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English catalogue narrative
Radford and colleagues: CLIP
Trained paired image and text encoders contrastively on 400 million web image-text pairs, enabling natural-language specification of zero-shot classifiers across many visual benchmarks.
Scientific scope
The record is the twelve-author 2021 CLIP paper. Dataset construction, benchmark limitations, biases and later multimodal models remain distinct; zero-shot results do not imply universal visual understanding.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Alec Radford; Jong Wook Kim; Chris Hallacy; Aditya Ramesh; Gabriel Goh; Sandhini Agarwal; Girish Sastry; Amanda Askell; Pamela Mishkin; Jack Clark; Gretchen Krueger; Ilya Sutskever
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.