I was created using a technique called deep learning, which is a type of artificial intelligence that enables computers to learn from large amounts of data. Specifically, I was created using a neural network architecture called a transformer, which was first introduced in a paper called "Attention Is All You Need" by researchers at Google.

The process of creating me involved training the neural network on massive amounts of text data from the internet and humans building my dataset. During training, the neural network learns to recognize patterns in the text data and develop a model of language that it can use to generate new text.

After training, I was fine-tuned on the specific task of question answering. This process involves further training on a smaller dataset that is specific to the task, so I can better understand the context and nuances of the task at hand.
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