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Guide to Using Artificial Intelligence for Research : Home

Artificial Intelligence for Research

Artifical intelligence and tools, such as ChatGPT and Microsoft Copilot, are gaining prominance. This guide is designed to provide an overview of what Generative AI is, and how students, faculty, and others can use these tools responsibily to assist them with their research. 

What is Artificial Intelligence?

Generative AI

According to ChatGPT 3.5, Generative AI refers to AI models that create new content, like images, text, or audio, based on patterns learned from existing data. It uses techniques such as neural networks to generate realistic outputs that mimic human creativity.  

 

OpenAI. (2024) ChatGPT (July 2, version 3.5)[Large Language Model]. https://chatgpt.com/

Large Language Models

According to ChatGPT 3.5, Large language models specifically focus on generating and understanding human-like text. They are a subset of generative AI, utilizing deep learning techniques like transformers to process and produce coherent sentences or paragraphs based on extensive training data.

 

OpenAI. (2024) ChatGPT (July 2, version 3.5)[Large Language Model]. https://chatgpt.com/

Artificial Intelligence Models

Gemini is an AI language model created by Google, designed to understand and generate text in a wide range of contexts and styles.

Microsoft Copilot AI is an advanced AI assistant integrated into productivity tools like Microsoft Office. It enhances productivity by assisting users with writing, data analysis, and content creation tasks. Copilot AI utilizes natural language processing and machine learning models to understand context and provide intelligent suggestions, aiming to streamline workflows and enhance user efficiency.

Claude: Claude is another AI language model, known for its ability to generate text based on input prompts, developed by Anthropic.

*ChatGPT was used in the creation of this Libguide. 

OpenAI. (2024) ChatGPT (July 2, version 3.5)[Large Language Model]. https://chatgpt.com/