Nov. 18, 2022, 9:45 p.m. | Jaime Hampton

Datanami www.datanami.com

Training machine learning foundation models with sometimes billions of parameters demands serious computing power. For example, the largest version of GPT-3, the famous large language model behind OpenAI’s DALL-E 2, has 175 billion parameters and needs truly powerful hardware. The model was trained on an AI supercomputer developed by Microsoft specifically for OpenAI that contains Read more…


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