Creating Sparse GPT-3 Models with Iterative Pruning - Cerebras
We have trained extremely sparse GPT-3 1.3B parameter models on the Cerebras CS-2 system, including an 83.8% sparse model with 3x reduction in inference FLOPs and no degradation in loss.
Training Multi-Billion-Parameter Models on a Single Cerebras System is Easy - CerebrasCerebras
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Visualizing Knowledge at Lightning Speed with Cerebras at Tako - CerebrasCerebras
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Revolutionizing Life Science and Healthcare with Generative AI - CerebrasCerebras
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