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This video tutorial from Cohere AI explains the concepts of word and sentence embeddings, which are crucial for large language models. Language models aim to enable computers to understand and process human language, which is inherently composed of words. To bridge the gap between words and numerical processing, word embeddings transform each word into a list of numbers. Similarly, sentence embeddings represent sentences as numerical lists in a coherent manner. This transformation is achieved not by humans, but through complex neural network models that analyze context; words that frequently appear together are numerically represented closer to one another. This method yields significant and impressive results in language processing.
