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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. Since computers process numbers rather than words, embeddings convert words and sentences into numerical representations. Each word is associated with a list of numbers, and the same applies to sentences, but in a meaningful way. This process is not done manually; instead, it relies on a neural network that analyzes context. When two words appear together in similar contexts, their numerical representations are adjusted to be closer to each other. The same method applies to sentences, ultimately leading to impressive results in language processing.
