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The video tutorial from Cohere AI discusses word and sentence embeddings, which are essential for large language models. These embeddings enable computers to understand and process language, as language consists of words while computers handle numbers. Word embeddings convert words into numeric representations, and sentence embeddings do the same for sentences, ensuring the associations make sense. This conversion is not manually done but is performed by a neural network, which analyzes context. When two words appear in similar contexts, their numeric representations are adjusted to be closer together. This process yields impressive results in language understanding.
