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This video tutorial from Cohere AI explains word and sentence embeddings, which are essential for large language models. Language models aim to enable computers to understand and process language, which is made up of words, while computers work with numbers. Word embeddings convert words into lists of numbers, while sentence embeddings do the same for sentences in a meaningful way. This process is not manually done by humans; instead, it utilizes neural networks that analyze context. When two words appear together in the same context, their representations in the number space are adjusted to be closer. This mechanism ultimately leads to impressive outcomes in language processing.
