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He focuses on Deeplearning including NLP and Computer Vision domains. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.
Thirdly, the presence of GPUs enabled the labeled data to be processed. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deeplearning. In order to train transformer models on internet-scale data, huge quantities of PBAs were needed.
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