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In this video tutorial by Joseph Smithson from Classway, the focus is on pre-trained embeddings used in natural language processing (NLP). The speaker explains that while machines excel at processing numerical data, they struggle with raw text data. To bridge this gap, embeddings are created to represent words numerically, capturing their meanings, semantic relationships, and various contexts. The discussion highlights the significance of embeddings in making text understandable for machines, touching upon their application in technologies like Siri, Google Assistant, and predictive text functions on smartphones, showcasing the importance of embeddings in NLP.
