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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 human language, which consists of words, while computers operate using numbers. Word embeddings transform words into numerical representations, associating each word with a list of numbers. Sentence embeddings perform a similar function for sentences. This process is not manually defined by humans; instead, it’s executed by complex neural networks that analyze context—bringing related words and sentences closer together in their numerical representations. The outcome is highly effective in enhancing language comprehension by machines.
