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 instruction sessions and asynchronous tools, we hope that you will find these resources useful in building your familiarity with AI.
Recommended Resources
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O’Reilly for Higher Education
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Artificial Intelligence: Work, Machines and Human Interaction
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Call Number: eBookISBN: 9781685073534Publication Date: 2021Today, many Americans are concerned about the impact that artificial intelligence and machine learning will have on jobs. This book examines the impact of these factors on the workforce, including issues related to worker displacement, retraining of the current workforce, and developing a skilled technical workforce of the future that can thrive in an economy in which AI increasingly plays a role. -
The Early-Career Professional’s Guide to Generative AI: Opportunities and Challenges for an AI-Enabled Workforce
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Call Number: eBookISBN: 9798868804564Publication Date: 2024This groundbreaking technology has provoked and impressed almost every industry globally, evoking every emotion from awe to anxiety. Many are apprehensive about the future, fearing job losses due to rapid artificial intelligence (AI advancements). But if history has taught us anything, progress, while challenging, often paves the way for broader opportunities and growth. This book explains in depth the core building blocks that make up the current landscape of transformer and language models and, more broadly speaking, AI as a whole. -
Still Room for Humans: Career Planning in an AI World
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Call Number: eBookISBN: 9781637424544Publication Date: 2023This book offers several ways to cope with the introduction of artificial intelligence and robotics to a company or organization as well as how to take advantage of the disruption likely to result from other new technologies including 3D printing, the Internet of Things, virtual reality, green technologies, Big Data, blockchain, and nanotechnology.
