Polymathic

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Insights into ChatGPT’s Versatility

The key insights from these article sections are:
– OpenAI has made changes to large language models (LLMs) like GPT3 to make them more responsive to human interaction, allowing them to be used as powerful, general-purpose information-processing tools.
– These changes enable AI models like GPT3.5 and GPT4 to be used in a programming manner, using new data instead of training, making AI more of a general-purpose tool.
– Generative AI, like GPT4, is probabilistic and predicts the probability of words and phrases based on input, making it flexible but also unpredictable.
– Training LLMs involves using gradient descent to adjust the neural network’s parameters and make incremental improvements to produce coherent output.

Original article: How ChatGPT turned generative AI into an anything tool


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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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