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  2. Contrastive Language-Image Pre-training - Wikipedia

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

    CLIP has been used as a component in multimodal learning. For example, during the training of Google DeepMind's Flamingo (2022), [34] the authors trained a CLIP pair, with BERT as the text encoder and NormalizerFree ResNet F6 [35] as the image encoder. The image encoder of the CLIP pair was taken with parameters frozen and the text encoder was ...

  3. Self-supervised learning - Wikipedia

    en.wikipedia.org/wiki/Self-supervised_learning

    Contrastive self-supervised learning uses both positive and negative examples. The loss function in contrastive learning is used to minimize the distance between positive sample pairs, while maximizing the distance between negative sample pairs. [9] An early example uses a pair of 1-dimensional convolutional neural networks to process a pair of ...

  4. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.

  5. Contrastive Hebbian learning - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Hebbian_learning

    Contrastive Hebbian learning is a biologically plausible form of Hebbian learning. It is based on the contrastive divergence algorithm, which has been used to train a variety of energy-based latent variable models. [1] In 2003, contrastive Hebbian learning was shown to be equivalent in power to the backpropagation algorithms commonly used in ...

  6. Category:Disability-related lists - Wikipedia

    en.wikipedia.org/wiki/Category:Disability...

    Lists of people with disabilities (2 C, 18 P) Pages in category "Disability-related lists" ... List of disability-related terms with negative connotations

  7. Disabilities affecting intellectual abilities - Wikipedia

    en.wikipedia.org/wiki/Disabilities_affecting...

    There are a variety of disabilities affecting cognitive ability.This is a broad concept encompassing various intellectual or cognitive deficits, including intellectual disability (formerly called mental retardation), deficits too mild to properly qualify as intellectual disability, various specific conditions (such as specific learning disability), and problems acquired later in life through ...

  8. Hallucination (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Hallucination_(artificial...

    The images above demonstrate an example of how an artificial neural network might make a false positive result in object detection. The input image is a simplified example of the training phase, using multiple images that are known to depict starfish and sea urchins, respectively. The starfish match with a ringed texture and a star outline ...

  9. Talk : List of disability-related terms with negative ...

    en.wikipedia.org/wiki/Talk:List_of_disability...

    I totally agree with you. I have multiple physical and psychiatric disabilities and I strongly believe that 90% of this list is bullshit. "Retarded" is a medical term, with a different and distinct meaning from "learning disability" or "developmental disability". Dyslexia is a learning disability. Mental retardation is just that, mental ...