This ‘smart chat’ has surprised even the most skeptical. In this post we will discuss how it works and how you can use Chat GPT in your projects.

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Chat GPT belongs to the research company OpenAI, founded in San Francisco in 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever and Wojciech Zaremba.

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It can be used to generate attractive posts and messages for social networks.

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With GPT you can generate reports, e-mails and other content for productivity applications.

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For example, the GPT-3 model was trained on a text set that included over 8 million documents and over 10 billion words.

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Reinforcement learning, based on human feedback, was used for training. Ultimately, by supervised fine tuning.

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This ‘smart chat’ has surprised even the most skeptical. In this post we will discuss how it works and how you can use Chat GPT in your projects.

This ‘smart chat’ has surprised even the most skeptical. In this post we will discuss how it works and how you can use Chat GPT in your projects.

Chat GPT belongs to the research company OpenAI, founded in San Francisco in 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever and Wojciech Zaremba.

Chat GPT belongs to the research company OpenAI, founded in San Francisco in 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever and Wojciech Zaremba.

It can be used to generate attractive posts and messages for social networks.

It can be used to generate attractive posts and messages for social networks.

With GPT you can generate reports, e-mails and other content for productivity applications.

With GPT you can generate reports, e-mails and other content for productivity applications.

For example, the GPT-3 model was trained on a text set that included over 8 million documents and over 10 billion words.

For example, the GPT-3 model was trained on a text set that included over 8 million documents and over 10 billion words.

Reinforcement learning, based on human feedback, was used for training. Ultimately, by supervised fine tuning.

Reinforcement learning, based on human feedback, was used for training. Ultimately, by supervised fine tuning.

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