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This essay is a personal perspective on the evolution of Natural Language Understanding (NLU) and the current AI uprise. It discusses the history of Machine Learning, from Tomas Mikolov’s word2vec publication to Andrew Ng’s Machine Learning course on Coursera, and the industry adoption of deep learning algorithms. It also highlights the game-changing moments in NLU, such as the release of the word2vec model and the public release of the ImageNet dataset.
