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New AI Training Technique Is Drastically Faster, Says Google
The so-called JEST approach is up to 13 times faster and 10 times more efficient—which could mean lower energy demands.
Google's DeepMind researchers have unveiled a new method to accelerate AI training, significantly reducing the computational resources and time needed to do the work. By optimizing data selection for AI training, Google said, JEST can significantly reduce the number of iterations and computational power needed, which could lower overall energy consumption. The researchers also found that the algorithm quickly discovered highly learnable sub-batches, accelerating the training process by focusing on specific pieces of data that “match” together.
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