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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. The goal is to enable computers to understand and process language, which consists of words. Since computers handle numbers, word embeddings convert words into numerical representations. Sentence embeddings follow the same principle by associating sentences with lists of numbers. This process isn’t manually performed; instead, a neural network analyzes context to bring similar words and sentences closer together in the embedding space. Ultimately, this method yields impressive outcomes in language understanding.