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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. Language models aim to help computers understand and process human language. Since computers operate with numbers, word embeddings translate words into numerical representations, associating each word with a list of numbers. Sentence embeddings do the same for sentences. This process is automated by a neural network, which analyzes context; words appearing together in similar contexts are grouped closely in the numerical space. Ultimately, this approach yields impressive results in language understanding.