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This video tutorial from Cohere AI focuses on word and sentence embeddings, which are essential for large language models. Language models aim to enable computers to understand and process human language. Since computers can only handle numbers, word embeddings convert words into numerical representations, associating each word with a list of numbers. Similarly, sentence embeddings do the same for sentences. This process is performed by a neural network that analyzes the context in which words appear together, bringing similar words or sentences closer in numerical space. Ultimately, this results in effective language processing capabilities and impressive outcomes.
