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This video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. Language models aim to enable computers to understand and process language, which consists of words, while computers operate using numbers. Word embeddings convert words into numerical representations, and sentence embeddings do the same for sentences, ensuring meaningful associations. This process is not manually done; instead, it involves computers, typically using complex models like neural networks, that analyze the context of words appearing together. By doing so, the model brings related words and sentences closer together, leading to impressive results in language understanding.
