AI summary: A team from Stanford University has developed Sophia, a method to optimize the pretraining of large language models (LLMs) that is twice as fast as current approaches. The technique, which uses curvature estimation and clipping, could significantly reduce the cost of training LLMs, making them more accessible to smaller organizations and academic groups. The team plans to apply Sophia to other areas of machine learning, such as computer vision models or multi-modal models.
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