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This video tutorial from Cohere AI covers word and sentence embeddings, essential components of large language models. Language models aim to enable computers to understand and process language, which consists of words, while computers work with numbers. Word embeddings convert words into numerical lists, and sentence embeddings do the same for sentences, maintaining meaningful associations. This process is not manually done by humans; instead, a computer, typically using a neural network, analyzes context. When two words frequently appear together in similar contexts, their numerical representations are adjusted to be closer. This results in effective and insightful outcomes in language processing.