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  2. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    An alternative direction is to aggregate word embeddings, such as those returned by Word2vec, into sentence embeddings. The most straightforward approach is to simply compute the average of word vectors, known as continuous bag-of-words (CBOW). [9] However, more elaborate solutions based on word vector quantization have also been proposed.

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).

  4. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  5. Center embedding - Wikipedia

    en.wikipedia.org/wiki/Center_embedding

    One can tell if a sentence is center embedded or edge embedded depending on where the brackets are located in the sentence. [Joe believes [Mary thinks [John is handsome.]]] The cat [that the dog [that the man hit] chased] meowed. In sentence (1), all of the brackets are located on the right, so this sentence is right-embedded.

  6. 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]

  7. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Text-to-image models such as DALL-E, Midjourney and Stable Diffusion; Image to video [227] Text to video such as Make-A-Video from Meta, Imagen video and Phenaki from Google; Text to music with AI models such as MusicLM [228] [229] Text to speech such as ElevenLabs and 15.ai; Motion capture [230] Make image transparent [231]

  8. Attach or insert files, images, GIFs and emojis in New AOL Mail

    help.aol.com/articles/attach-files-or-insert...

    In AOL Mail, click Compose.; Click the Attach icon. - Your computer's file manager will open. Find and select the file or image you'd like to attach. Click Open.; The file or image will be attached below the body of the email.

  9. Article spinning - Wikipedia

    en.wikipedia.org/wiki/Article_spinning

    Automatic rewriting can change the meaning of a sentence through the use of words with similar but subtly different meanings to the original. For example, the word "picture" could be replaced by the word "image" or "photo". Thousands of word-for-word combinations are stored in either a text file or database thesaurus to draw from.