It is becoming common practice to utilize synthetic data to boost the performance of Machine Learning Models. For example, Machine Learning Practitioners generate synthetic data by rotating, flipping, and cropping images to increase the volume of image data to train Convolutional Neural Networks. In this session Dewayne will share how he is using the GPT-2 to generate synthetic NLP data to improve the performance text classification models.

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