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This video by Cohere AI explains word and sentence embeddings, which are fundamental to large language models. The purpose of these embeddings is to enable computers to understand and process language, which is intrinsically composed of words, while computers operate using numbers. Word embeddings convert words into numerical lists, and sentence embeddings do the same for sentences, ensuring meaningful associations. This process is automated by a neural network, which analyzes context – bringing words or sentences closer together based on their co-occurrence. Ultimately, this yields impressive results in language comprehension and processing.
