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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. Language models aim to enable computers to understand and process language, which consists of words, while computers only handle numbers. Word embeddings convert words to numerical lists, and sentence embeddings do the same for sentences, ensuring the numerical representation is meaningful. This process is not done manually; instead, it involves a neural network that analyzes the context in which words or sentences appear together, gradually bringing similar items closer in the numerical space. Ultimately, this method yields impressive results in language understanding.