SourceScore

Verified claim · AI-ML · 100% confidence

CLIP introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021).

Last verified 2026-05-16 · Methodology veritas-v0.1 · bcdef949cc6d3644

Structured fields

Subject
CLIP
Predicate
introduced_in_paper
Object
Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021)
Confidence
100%
Tags
clip · vision-language · multimodal · foundational · 2021 · openai

Sources (2)

  1. [1] preprint · arXiv (Radford, Kim, Hallacy, Ramesh, Goh, Agarwal, Sastry, Askell, Mishkin, Clark, Krueger, Sutskever) · 2021-02-26

    Learning Transferable Visual Models From Natural Language Supervision
    We demonstrate that the simple pre-training task of predicting which caption goes with which image is an efficient and scalable way to learn SOTA image representations from scratch on a dataset of 400 million (image, text) pairs collected from the internet.
  2. [2] official blog · OpenAI · 2021-01-05

    CLIP: Connecting Text and Images

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CLIP introduced in paper: Learning Transferable Visual Models From Natural Language Supervision (Radford et al., 2021). — SourceScore Claim bcdef949cc6d3644 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/bcdef949cc6d3644.json

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