This guide broadly focuses on Generative AI, providing basic information and key resources regarding the use of Generative AI by the UF community.
For more information about Natural Language Processing (NLP) and Large Language Models (LLMs) or for help utilizing NLP techniques and LLMs in a research context, please see Dr. Borui Zhang's guide listed in the Related Guides listing below.
For more information about this guide or to leave feedback please see the About this Guide section.
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AI and machine learning are closely related but have important differences. Machine learning is a subset of AI that enables a machine to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and draw inferences from patterns in data. AI encompasses machine learning and other computational techniques.
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| Figure 3. Visualization of algorithms vs. artificial intelligence vs. machine learning vs. deep learning from Vrana, J., Singh, R. NDE 4.0—A Design Thinking Perspective. J Nondestruct Eval 40, 8 (2021). https://doi.org/10.1007/s10921-020-00735-9 CC BY-ND 4.0 |
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