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This video tutorial from Cohere AI focuses on word and sentence embeddings, which are fundamental to large language models. The goal of these models is to enable computers to understand and process human language, which is inherently composed of words. Since computers work with numbers, word embeddings convert words into numerical representations. Similarly, sentence embeddings represent entire sentences with lists of numbers. This process is not manually curated but is performed by a neural network that analyzes context. When two words appear together frequently, their numerical representations are adjusted to be closer in the embedding space, yielding effective and meaningful results.
