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This video tutorial from Cohere AI discusses word and sentence embeddings, fundamental components of large language models. These embeddings enable computers to process language by converting words and sentences into numerical representations. Word embeddings associate each word with a list of numbers, while sentence embeddings do the same for sentences, establishing meaningful connections. This process isn't manually done; instead, a neural network analyzes context to group words and sentences that appear together, bringing their numerical representations closer together. Ultimately, this technique yields impressive outcomes in language understanding and processing.
