Generative AI
Whether you have experience with generative AI already or just want to explore this new technology, the Lyman Beecher Brooks Library is here to help! From databases and collection materials to asynchronous tools, we hope that you will find these resources useful in building your familiarity with AI.
Recommended Resources
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AI Demystified: A Simple Guide for Newcomers byCall Number: Streaming VideoPublication Date: 2025Total Run Time: 4 hours across 8 sections
This course introduces the world of Artificial Intelligence, breaking down its concepts for beginners. The course starts with a clear understanding of AI's history, key terms, and differences between AI, Machine Learning, and Deep Learning, then delves into AI's essential elements, including the role of data, algorithms, and the capabilities and limitations of AI systems. -
Introduction to AI Ethics and Safety. byCall Number: Streaming VideoPublication Date: 2025Total Run Time: 2 hours 14 minutes across 4 sections
This course will introduce ethical and safety considerations that come with powerful AI modeling. Through examining different case studies, this course will encourage new insights, like how ChatGPT’s output can be manipulated and influenced by bad actors, along with new skills such as how to spot a potentially biased dataset or model. -
Encyclopedia of Artificial Intelligence
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Call Number: eBookISBN: 9781440853272Publication Date: 2021This volume will help users understand the reasons AI development has both spirited defenders and alarmed critics; explain theories and innovations like Moore's Law, mindcloning, and Technological Singularity that drive AI research and debate; and give readers the information they need to make their own informed judgment about the promise and peril of this technology. -
Introduction to Artificial Intelligence (AI)
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Call Number: eBookISBN: 9781003499527Publication Date: 2024Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in artificial intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores the emerging trends and applications that are likely to shape the next decade of AI innovation. -
The AI Glossary : Demystifying 101 Essential Artificial Intelligence Terms for Everyone
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Call Number: eBookISBN: 9781040330609Publication Date: 2025From the foundational concepts of "Artificial Intelligence" and "Machine Learning" to the innovations of "ChatGPT" and "DALL-E," this glossary provides definitions and real-world applications across the terrain of artificial intelligence terms. -
Introduction to Generative AI
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Call Number: eBookISBN: 9781633437197Publication Date: 2024This book introduces cutting-edge AI tools and practical techniques that can help you use them safely and effectively.
Explore and Evaluate Generative AI!
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Reel Research - AI tutorialThis interactive tutorial will take you through a guided query session with an AI tool. It is appropriate for beginners as well as those familiar with Large Language Models (LLMs) as a way to think about how Generative AI (GenAI) can be applied to your academic work.
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AI Tool Checklist for StudentsThis checklist is a summarized version of the AI evaluation rubric that offers a more condensed interface.
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AI Tool Evaluation Rubric for StudentsThis rubric is intended to help you evaluate the characteristics of an AI tool and whether those elements favor use or raise concerns that should be further investigated.