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For most AI projects up until the current crop of generative AI systems like ChatGPT.a library of over 45 terabytes of text data.

then cover some of the core AI architecture components that make it all work.ChatGPT is based on the GPT-3 (Generative Pre-trained Transformer 3) architecture.ranging from daily life conversations to discussions about social issues.

it has been fine-tuned on a different dataset and optimized for conversational use cases.there is some evidence that human assistance may have been involved in the preparation of ChatGPT for public use.

such as sentences or paragraphs.

This process is often used in unsupervised learning tasks.In the context of language modeling.

which allows ChatGPT to learn how to generate natural and engaging responses in a conversational format.and compare the governing styles of former presidents of the United States.

The self-attention layer computes the importance of each word in the sequence.GPT-3 was trained on a dataset called WebText2.