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  2. fastText - Wikipedia

    en.wikipedia.org/wiki/FastText

    fastText is a library for learning of word embeddings and text classification created by Facebook's AI Research (FAIR) lab. [3] [4] ...

  3. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  4. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.

  5. 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.

  6. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    The response to Meta's integration of Llama into Facebook was mixed, with some users confused after Meta AI told a parental group that it had a child. [ 69 ] According to the Q4 2023 Earnings transcript, Meta adopted the strategy of open weights to improve on model safety, iteration speed, increase adoption among developers and researchers, and ...

  7. Logographic cues - Wikipedia

    en.wikipedia.org/wiki/Logographic_cues

    The use of this method has also received some criticism. In reference to the use of logographic cues to develop word recognition the International Journal of Disability, Development and Education writes that "the results of controlled studies show it to be ineffective and potentially detrimental to student learning."

  8. Meta is reviving facial recognition for Facebook and ... - AOL

    www.aol.com/finance/meta-reviving-facial...

    The tool will compare faces in suspected ads with the public figure’s Facebook and Instagram pages. If there’s a match, and the ad is determined to be a scam, it will be blocked.

  9. Native advertising - Wikipedia

    en.wikipedia.org/wiki/Native_advertising

    The word native refers to the coherence of the content with the other media that appear on the platform. These ads reduce a consumer's ad recognition by blending the ad into the native content of the platform, even if it is labeled as "sponsored" or "branded" content. [6]