Prompt Engineering -
or, how to ChatGPT With the Best of 'Em
When OpenAI released ChatGPT in November 2022, it instantly captured the public's imagination with its ability to answer questions,
write poetry and riff on almost any topic. ChatGPT is driven by what A.I. researchers call a neural network. A neural network
learns skills by analyzing data and pinpointing patterns in order to perform some task. Researchers at labs like OpenAI have
designed neural networks that analyze vast amounts of digital text from many varied sources on a variety of topics. ChatGPT is just
one example of a technology class referred to as Large Language Models. ChatGPT technology can appear amazing but can also blend
fact with fiction and even make up information, a phenomenon that technologists refer to (by analogy) as "hallucination", while not informing you of those
fictive limitations when they occur and are presented in ChatGPT's output or "completion". Prompt engineering is the process of formulating a prompt for an AI system so that it produces a completion
that closely matches your needs and expectations.
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The Prompt Engineering videos above were sourced primarily (but not exclusively) from: (1)Prompt Engineering and Advanced ChatGPT, offered by EdX, (other personal attributions not available);
(2) Prompt Engineering for ChatGPT, taught by Dr. Jules White, Associate Professor of Computer Science at Vanderbuilt University;
(3) Generative AI with Large Language Models, from DeepLearning.AI and AWS, taught by Chris Fregly, Instructor and Principal Solutions Architect, Generative AI, Amazon Web Services (AWS)