Tags: embedding* + llm* + word2vec*

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  1. - Embeddings transform words and sentences into sequences of numbers for computers to understand language.
    - This technology powers tools like Siri, Alexa, Google Translate, and generative AI systems like ChatGPT, Bard, and DALL-E.
    - In the early days, embeddings were crafted by hand, which was time-consuming and couldn't adapt to language nuances easily.
    - The 3D hand-crafted embedding app provides an interactive experience to understand this concept.
    - The star visualization method offers an intuitive way to understand word embeddings.
    - Machine learning models like Word2Vec and GloVe revolutionized the generation of word embeddings from large text datasets.
    - Universal Sentence Encoder (USE) extends the concept of word embeddings to entire sentences.
    - TensorFlow Projector is an advanced tool to interactively explore high-dimensional data like word and sentence embeddings.

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