1 source
Co-authored CLIP: a core reference for contrastive multimodal pretraining.
Researcher Profile
FeaturedAlec Radford
Generative pretraining, multimodal models
Advisor at Thinking Machines Lab
Important because several of the modern foundation-model playbooks trace back to work he helped drive, especially around generative pretraining and multimodal transfer.
Organizations
Thinking Machines Lab
Labs
About This Page
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Last reviewed
March 18, 2026
Official And External Links
Known For
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01
Generative pretraining
02
Multimodal foundation models
03
Patterns that became standard in modern model development
04
Generative pretraining, multimodal models
05
Language Models are Unsupervised Multitask Learners (GPT-2)
06
Learning Transferable Visual Models From Natural Language Supervision (CLIP)
Start Here
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1 source
Co-authored CLIP: a core reference for contrastive multimodal pretraining.
1 source
Co-authored CLIP: a core reference for contrastive multimodal pretraining.
1 source
Co-authored CLIP: a core reference for contrastive multimodal pretraining.
1 source
Co-authored the original DALL·E paper: zero-shot text-to-image generation.
Start HereZero-Shot Text-to-Image Generation
1 source
Co-authored the original DALL·E paper: zero-shot text-to-image generation.
Start HereZero-Shot Text-to-Image Generation