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This video tutorial from Cohere AI discusses word and sentence embeddings, which are crucial for large language models. These embeddings transform words and sentences into numerical representations, allowing computers to process language, which is inherently made up of words. Word embeddings associate each word with a list of numbers, while sentence embeddings do the same for sentences. Importantly, this process is automated by a neural network, which analyzes context; words that appear together in similar contexts are positioned closer in the numerical space. Ultimately, this method yields impressive results in language understanding and processing.
