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The video tutorial from Cohere AI discusses word and sentence embeddings, essential elements of large language models. It explains that while language is composed of words, computers can only understand numerical data. To bridge this gap, word embeddings convert words into numerical lists, while sentence embeddings do the same for sentences, ensuring logical associations. This process is not manual; instead, it is performed by complex neural network models that analyze context. When two words frequently appear together, the model brings their numerical representations closer. The tutorial highlights that this method leads to impressive results in language processing.
