AI Literacy for the Age of Large Language Models: A Guide to Inner Workings, Limitations, Prompting, and Responsible Use

Mo Hoque

AI Literacy for the Age of Large Language Models: A Guide to Inner Workings, Limitations, Prompting, and Responsible Use

Research output: Book/Report › Book

Abstract

This comprehensive guide serves as an essential resource for understanding ChatGPT and other Large Language Models (LLMs), key players in the emerging landscape of generative AI. Drawing parallels between the revolutionary impact of electricity and the potential of LLMs, the book provides an in-depth look into the complex inner workings of these AI models. It not only elucidates their capabilities and limitations but also offers expertise in prompt engineering and techniques to identify output inaccuracies. To aid comprehension, the book is enhanced with 45 illustrative figures. Importantly, it goes beyond technical know-how to address the ethical and regulatory aspects of interacting with AI. Aimed at students, professionals, and anyone intrigued by AI, this guide prepares you to be an informed and responsible participant in the unfolding AI revolution.

Original language	English
Publisher	StudyAnalyst
Number of pages	180
ISBN (Electronic)	9781739525613
ISBN (Print)	9781739525606, 9781739525620
Publication status	Published - 3 Sept 2023

Keywords

ChatGPT
hallucination
AI adoption
large language model (LLM)
responsible AI
prompt engineering

Access to Document

https://studyanalyst.com

Cite this

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title = "AI Literacy for the Age of Large Language Models: A Guide to Inner Workings, Limitations, Prompting, and Responsible Use",

abstract = "This comprehensive guide serves as an essential resource for understanding ChatGPT and other Large Language Models (LLMs), key players in the emerging landscape of generative AI. Drawing parallels between the revolutionary impact of electricity and the potential of LLMs, the book provides an in-depth look into the complex inner workings of these AI models. It not only elucidates their capabilities and limitations but also offers expertise in prompt engineering and techniques to identify output inaccuracies. To aid comprehension, the book is enhanced with 45 illustrative figures. Importantly, it goes beyond technical know-how to address the ethical and regulatory aspects of interacting with AI. Aimed at students, professionals, and anyone intrigued by AI, this guide prepares you to be an informed and responsible participant in the unfolding AI revolution.",

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