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This video tutorial from Cohere AI explains the concepts of word and sentence embeddings, which are essential for large language models. Since computers process numbers but language consists of words, word embeddings convert words into numerical representations. Similarly, sentence embeddings transform sentences into numerical formats that retain meaning. This process is not done manually; instead, a neural network analyzes context to determine the proximity of words that appear together. Thus, words and sentences are encoded in a way that reflects their contextual relationships, leading to effective language processing and impressive outcomes in AI applications.
