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This video tutorial by Cohere AI discusses word and sentence embeddings, essential components of large language models. These embeddings allow computers to understand and process language, as they convert words into numerical representations. Each word is associated with a list of numbers, while sentence embeddings do the same for sentences, ensuring meaningful associations. This process is not manual; instead, it utilizes a neural network model that analyzes context. When words or sentences appear together in similar contexts, their numerical representations get closer together. Ultimately, this approach yields impressive results in language processing.
