Nate Cibik

Streamlining Giants Part 2: Neural Network Quantization Nate Cibik · Follow Published in Towards Data Science · 81 min read · 5 hours ago — Image by author using DALL-E 3 In recent years, a powerful alliance has been forged between the transformer neural network architecture and the formulation of various problems as self-supervised sequence prediction tasks. This union has enabled researchers to train large foundation models of unprecedented sizes using massive troves of unlabeled