On Tuesday, the company announced on its blog that it is postponing the largest AI training cycle ever planned until it verifies whether the resulting model will work as expected.
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Training cycles are computationally intensive processes during which models are presented with massive amounts of texts and images. This, along with the precise tuning of billions of internal parameters, determines their ability to think and respond to queries and other input data.
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