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The video from Cohere AI discusses word and sentence embeddings, which are crucial for large language models. These embeddings help computers understand language by converting words into numerical representations, enabling the processing of language, which is inherently composed of words. Word embeddings associate each word with a list of numbers, while sentence embeddings do the same for sentences in a meaningful way. This process is automated, typically using complex neural networks, rather than being manually defined by humans. The model analyzes the context in which words and sentences appear together, bringing similar items closer in their numerical representation, resulting in sophisticated outcomes in language processing.
