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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 language, which is inherently composed of words, while computers only handle numbers. Word embeddings convert words into numerical representations, associating each word with a list of numbers, and sentence embeddings do the same for sentences. This process is not manually conducted; instead, a neural network analyzes context, bringing words or sentences closer together based on their co-occurrence. Consequently, this method yields impressive results in language processing.
