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The video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings enable computers to understand and process language by converting words and sentences into numerical representations. Each word is associated with a list of numbers, while sentence embeddings do the same for sentences in a meaningful way. This process is automated by a neural network, which analyzes the context in which words appear together and adjusts their numerical representations accordingly. As a result, words that frequently occur in similar contexts are positioned closer together in the numerical space, leading to impressive outcomes in language understanding.
