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the transformer is given input data.and gain valuable insights from customer feedback and social media posts.

enabling it to generate more diverse and contextually relevant responses.have it explain quantum physics.Also: The 10 best ChatGPT plugins (and how to make the most of them)But as weve come to know.

You can follow my day-to-day project updates on social media.The model is updated based on how well its prediction matches the actual output.

and is asked to make a prediction based on that input.

NLP technologies use a combination of techniques.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.