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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. The main goal of language models is to enable computers to understand and process language, which consists of words while computers operate in numerical formats. Word embeddings convert words to lists of numbers, and sentence embeddings do the same for sentences in a meaningful way. This process is not manually done by humans but is performed by a neural network that analyzes context; when two words appear together in similar contexts, their numerical representations are adjusted to be closer. Ultimately, this approach leads to impressive results in language processing.