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This video tutorial from Cohere AI discusses word and sentence embeddings, which are fundamental to large language models. The core idea is to help computers understand and process language by converting words into numerical representations. Word embeddings map each word to a list of numbers, while sentence embeddings do the same for sentences, ensuring that the numerical representations reflect their meanings. This process is automated through neural networks, which analyze context; words that appear together frequently are assigned closer numerical values. The result is a sophisticated model that captures the relationships between words and sentences, enabling advanced language understanding.
