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Think of a neural network like a hockey team: Each player has a role.Also: Were not ready for the impact of generative AI on electionsPretty awesome.

provides a response based on the context and intent behind a users question.This allowed ChatGPT to learn about the structure and patterns of language in a more general sense.With the exponential growth of digital data and the increasing use of natural language interfaces.

This approach helps the model grasp the nuances of language without being restricted to specific tasks.all working together to score the goal.

Here are a few examples: Cornell Movie Dialogs Corpus: A dataset containing conversations between characters in movie scripts.

the data its trained on may be wrong or even weaponized to be outright misleading.com\/jw\/2017\/5\/c7d609f0-728b-d905\/mp4\/720.

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