As an AI language model, I was trained on a type of machine learning called deep learning, which is a subset of artificial neural networks. Deep learning involves training a neural network with many layers of interconnected nodes, each of which performs a specific computation.

During my training, I was fed with vast amounts of text data, allowing me to learn patterns in language and build a predictive model of human language. Specifically, I was trained using a variant of deep learning called the Transformer architecture, which was developed by researchers at Google.

The Transformer architecture is particularly effective for natural language processing tasks, such as language modeling, machine translation, and question-answering, and has been used to build some of the most advanced AI language models in the world.
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