Pioneers of deep learning AI think its future is gonna be lit

  • “Yoshua Bengio, Geoffrey Hinton, and Yann LeCun
  • Titled “Deep Learning for AI,” the paper envisions a future in which deep learning models can learn with little or no help from humans, are flexible to changes in their environment, and can solve a wide range of reflexive and cognitive problems.
  • One example is the Transformer, a neural network architecture that has been at the heart of language models such as OpenAI’s GPT-3 and Google’s Meena. One of the benefits of Transformers is their capability to learn without the need for labeled data. Transformers can develop representations”

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