Walker Management Library
Walker Management *Library
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Walker Management Library
Owen Graduate School of Management
401 21st. Avenue South
Nashville, TN 37203
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Owen Graduate School of Management
401 21st. Avenue South
Nashville, TN 37203
What Is Gen AI?
Generative AI (Gen AI) refers to deep learning artificial intelligence models that can create content such as text, images, and code based on training data the models were provided (IBM, 2023). Gen AI emerged in wider public awareness when OpenAI released ChatGPT in November 2022.
You most likely encounter Gen AI through a chat interface, such as ChatGPT or Google AI or Copilot. Underneath these interfaces are the actual models that do the generative work.
AI is a general, umbrella term. There are various forms of AI, many of which have been used in organizations for some time.
Source: Amaratunga, 2023
Amaratunga, T. (2023). Understanding large language models: Learning their underlying concepts and technologies. Apress Media LLC. https://catalog.library.vanderbilt.edu/permalink/01VAN_INST/18gthl0/alma991044248537503276
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What is Generative AI?An explainer article from McKinsey & Company
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AI Explained: A Non-Technical GuideA short eBook with accessible explanations of AI in Chapter 2.
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Generative AIThis article conceptualizes Gen AI from a socio-technical systems perspective and describes Gen AI from three levels: model level, system level, and application level.
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Agentic AI vs. generative AIAn article from IBM explaining the differences between agentic and generative AI.
How Gen AI Works
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Large language models, explained with a minimum of math and jargonA detailed (but non-technical) explanation of how large language models work.
History of AI
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A Brief History of Artificial IntelligenceA chapter from AI for Social Good by Rahul Dohdia that summarizes key figures and events in the history of AI.
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The Book of Chatbots
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Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI). Sophisticated artificial intelligence is changing the online world as advanced software chatbots can provide customer service, research duties, and assist in healthcare. Modern chatbots have indeed numerous applications -- including those of a malicious nature. They can write our essays, conduct autonomous scams, and potentially influence politics. The Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia. The book explains all relevant concepts for readers with no previous knowledge in these topics. Unearthing the secrets of virtual assistants such as the (in)famous ChatGPT and many other exciting technologies, The Book of Chatbots is meant for anyone interested in the topic, laypeople and IT-enthusiasts alike.
ISBN: 9783031510038Publication Date: 2024-01-14 -
A Narrative History of Artificial Intelligence
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This book addresses the history of artificial intelligence through the author's experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI. This book is suitable for anyone interested in the history of Artificial Intelligence. The content is easy to follow, even for readers without prior knowledge of AI. Experts will also find something new and thought-provoking.
ISBN: 9819707706Publication Date: 2024-05-03
