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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential components of large language models. Language models aim to enable computers to understand and process language, but since computers operate with numbers, word embeddings convert words into numerical representations. Each word is associated with a list of numbers, similar to how sentence embeddings work for sentences. This process is automated by a neural network that analyzes the context in which words and sentences appear together; words used in similar contexts are grouped closer together. The result is a sophisticated method of representing language in a numerical form, yielding impressive outcomes.
