A comparison of GPT-2 and BERT
GPT-2 and BERT are two methods for creating language models, based on neural networks and deep learning. GPT-2 and BERT are fairly young, but they are 'state-of-the-art', which means they beat almost every other method in the natural language processing field.
GPT-2 and BERT are extra useable because they come with a set of pre-trained language models, which anyone can download and use. Pre-trained models have as main advantage that user don't have to train a language model from scratch, which is computationally expensive and requires a huge dataset. Instead, you can take a smaller dataset and "fine-tune" the large, pre-trained model to your specific dataset with a bit of additional training, which is much cheaper.
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