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This video tutorial from Cohere AI discusses word and sentence embeddings, essential components of large language models. Language models aim to enable computers to understand and process human language, which consists of words, while computers process numerical data. Word embeddings convert words into numerical representations, creating a list of numbers for each word, while sentence embeddings do the same for sentences. This process is automated, typically using a neural network that analyzes context, bringing similar words and sentences closer together based on their usage. The result is a powerful system that enhances language understanding and processing.