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  2. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    The naming convention for these models often reflects the specific ViT architecture used. For instance, "ViT-L/14" means a "vision transformer large" (compared to other models in the same series) with a patch size of 14, meaning that the image is divided into 14-by-14 pixel patches before being processed by the transformer.

  3. Contrastive linguistics - Wikipedia

    en.wikipedia.org/wiki/Contrastive_linguistics

    Contrastive linguistics, since its inception by Robert Lado in the 1950s, has often been linked to aspects of applied linguistics, e.g., to avoid interference errors in foreign-language learning, as advocated by Di Pietro (1971) [1] (see also contrastive analysis), to assist interlingual transfer in the process of translating texts from one ...

  4. Self-supervised learning - Wikipedia

    en.wikipedia.org/wiki/Self-supervised_learning

    Contrastive Language-Image Pre-training (CLIP) allows joint pretraining of a text encoder and an image encoder, such that a matching image-text pair have image encoding vector and text encoding vector that span a small angle (having a large cosine similarity).

  5. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was developed and announced to the public in conjunction with CLIP (Contrastive Language-Image Pre-training). [23] CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which ...

  6. Error analysis (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Error_analysis_(linguistics)

    X. Fang and J. Xue-mei (2007) pointed out that contrastive analysis hypothesis claimed that the principal barrier to second language acquisition is the interference of the first language system with the second language system and that a scientific, structural comparison of the two languages in question would enable people to predict and ...

  7. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    That development led to the emergence of large language models such as BERT (2018) [28] which was a pre-trained transformer (PT) but not designed to be generative (BERT was an "encoder-only" model). Also in 2018, OpenAI published Improving Language Understanding by Generative Pre-Training, which introduced GPT-1, the first in its GPT series. [29]

  8. Contrastive analysis - Wikipedia

    en.wikipedia.org/wiki/Contrastive_analysis

    The theoretical foundations for what became known as the contrastive analysis hypothesis were formulated in Robert Lado's Linguistics Across Cultures (1957). In this book, Lado claimed that "those elements which are similar to [the learner's] native language will be simple for him, and those elements that are different will be difficult".

  9. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    First described in May 2020, Generative Pre-trained [a] Transformer 3 (GPT-3) is an unsupervised transformer language model and the successor to GPT-2. [ 187 ] [ 188 ] [ 189 ] OpenAI stated that the full version of GPT-3 contained 175 billion parameters , [ 189 ] two orders of magnitude larger than the 1.5 billion [ 190 ] in the full version of ...