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Generative AI in the Classroom & Research: Home

Purpose of this guide

This guide will serve as an evolving repository of definitions, uses, and resources related to the use of generative artificial intelligence (AI) and large language models (LLM) in the classroom and in research. As the information landscape around these tools develops, this guide will likewise remain updated.

What is AI and large-language modeling?

Artificial intelligence (AI), in the context of this guide, is the use of datasets to train computer models to emulate human thought processes (IBM, n.d.). It is the emulation itself that may convince information consumers of the supposed "intelligence" of a machine; the more convincing the emulation, the more users are prone to trust the generated information.

Large language models (LLMs) are AI models that utilize networked datasets, emulating the neural pathways of the human brain, which assists in the appearance of actual cognition (Birhane et al., 2023).

 

References

Birhane, A., Kasirzadeh, A., Leslie, D., & Wachter, S. (2023). Science in the age of large language models. Nature Reviews Physics. https://www.nature.com/articles/s42254-023-00581-4

IBM. (n.d.). What is artificial intelligence (AI)? https://www.ibm.com/topics/artificial-intelligence Retrieved 27 April 2023.

What does ChatGPT say?

We asked ChatGPT to answer the following question.

Q: ChatGPT, how do you define yourself, and how are you useful to higher education and research?

A: I am ChatGPT, a large language model developed by OpenAI, based on the GPT-3.5 architecture. As a language model, my primary function is to generate human-like responses to text-based prompts, which makes me a useful tool for a wide range of applications, including research and education.

In the context of AI in the classroom and research, I can be used to provide students and researchers with a wide range of information about artificial intelligence, including its history, applications, and ethical considerations. Additionally, I can generate sample code for machine learning projects, offer insights into the latest trends in AI research, and provide guidance on how to integrate AI into the classroom.

Overall, I am a valuable resource for anyone looking to explore the world of AI in the classroom and research.

Amanda Haberstroh

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Amanda Haberstroh
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Contact:
Office: 2532 Health Sciences Bldg
Phone: 252-744-5124
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Joseph Thomas

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Joseph Thomas
Contact:
252-737-2728
1202 Joyner Library