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  2. Contrastive Language-Image Pre-training - Wikipedia

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

    This is achieved by prompting the text encoder with class names and selecting the class whose embedding is closest to the image embedding. For example, to classify an image, they compared the embedding of the image with the embedding of the text "A photo of a {class}.", and the {class} that results in the highest dot product is outputted.

  3. Self-supervised learning - Wikipedia

    en.wikipedia.org/wiki/Self-supervised_learning

    An early example uses a pair of 1-dimensional convolutional neural networks to process a pair of images and maximize their agreement. [10] 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 ...

  4. Cloze test - Wikipedia

    en.wikipedia.org/wiki/Cloze_test

    The definition of success in a given cloze test varies, depending on the broader goals behind the exercise. Assessment may depend on whether the exercise is objective (i.e. students are given a list of words to use in a cloze) or subjective (i.e. students are to fill in a cloze with words that would make a given sentence grammatically correct).

  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.

  6. Applied linguistics - Wikipedia

    en.wikipedia.org/wiki/Applied_linguistics

    Applied linguistics is an interdisciplinary field which identifies, investigates, and offers solutions to language-related real-life problems. Some of the academic fields related to applied linguistics are education, psychology, communication research, information science, natural language processing, anthropology, and sociology.

  7. Generative pre-trained transformer - Wikipedia

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

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  8. Pre-assessment - Wikipedia

    en.wikipedia.org/wiki/Pre-assessment

    Pre-assessment is a test taken by students before a new unit to find out what the students need more instruction on and what they may already know. A pre-assessment, is a way to save teachers time within the classroom when teaching new material. It is a great way to find out more about the students, what they are interested in and how they ...

  9. Formative assessment - Wikipedia

    en.wikipedia.org/wiki/Formative_assessment

    Formative vs summative assessments. Formative assessment, formative evaluation, formative feedback, or assessment for learning, [1] including diagnostic testing, is a range of formal and informal assessment procedures conducted by teachers during the learning process in order to modify teaching and learning activities to improve student attainment.