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This video tutorial from Cohere AI discusses word and sentence embeddings, which are crucial for large language models. These embeddings convert words and sentences into numerical representations, enabling computers to process language. While language consists of words, computers operate on numbers, so word embeddings link each word to a list of numbers, while sentence embeddings achieve the same for sentences in a meaningful way. This process is not manually done; instead, a neural network analyzes context, bringing similar words or sentences closer together through computational methods. The result is a powerful understanding of language by machines.