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There are some subtleties when it comes to what the word training means.

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.including statistical modeling.

The two main sub-layers are the self-attention layer and the feedforward layer.

Thats because different people have different perspectives.Also: The 10 best ChatGPT plugins (and how to make the most of them)But as weve come to know.

there are many other conversational datasets that were used to fine-tune ChatGPT.Thats done by the inference phase which consists of natural language processing and dialog management.

all they have to do is dump more and more information into the ChatGPT pre-training mechanism.provides a response based on the context and intent behind a users question.