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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings convert words and sentences into numerical representations, enabling computers to process language. Word embeddings link each word to a list of numbers, while sentence embeddings do the same for sentences, ensuring the relationships are meaningful. This process is not manually done; instead, a neural network analyzes contextual usage of words and sentences, bringing similar terms or phrases closer together in the numerical space. Ultimately, this approach yields impressive results in understanding and processing language.