A graduate-level introduction to artificial intelligence. Topics include: representation and inference in …
A graduate-level introduction to artificial intelligence. Topics include: representation and inference in first-order logic; modern deterministic and decision-theoretic planning techniques; basic supervised learning methods; and Bayesian network inference and learning.
The nature of human identity - how we think of ourselves, how …
The nature of human identity - how we think of ourselves, how we perceive others - is a mutable concept, changing with the rise and fall of religious beliefs, social mores, philosophical theories. Today, we live in a world in which science and technology are among the most powerful forces reshaping our culture - and thus our definitions and perceptions of identity. In this seminar, we will examine the impact of science and technology on identity.
Short Description: Social media, digital devices, and networked communication systems have become …
Short Description: Social media, digital devices, and networked communication systems have become fully integrated into our everyday living experience. This e-book touches upon the human experience of contemporary trends that affect how we perceive ourselves, others, and society.
Long Description: Authored as a companion to COMM601 Trends in Digital & Social Media, Granite State College (USNH), Concord, NH.
Word Count: 25859
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This activity aims to stimulate discussion on the question of whether computers …
This activity aims to stimulate discussion on the question of whether computers can exhibit Ňintelligence" or are ever likely to do so in the future. Learners play a game and try to distinguish between a human and a computer by asking questions and analyzing the answers. This game is similar to the Turing Test, founded by British mathematician Alan Turing. Variations, extensions, background information and further reading suggestions are included in the PDF.
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the …
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.
Author: Mary Landry
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the annotated bibliography writing process to
explore, evaluate, and refine a research question brainstorm and determine effective search components and keywords decipher complex ideas within academic articles
Additionally, you will critically reflect on ChatGPT’s place within the citation practices of an annotated bibliography. Specifically, you will consider why and how ChatGPT should be cited according to both MLA and APA.
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the …
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.
Author: Mary Landry
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the evaluation essay writing process to
develop specific assessment criteria maintain a professional, unbiased tone articulate the sociohistorical context of a subject
Additionally, you will be able to identify specific limitations with using ChatGPT for an evaluation essay, including its limited ability to perform evaluations itself.
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the …
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.
Author: Mary Landry
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the research paper writing process to
survey the ongoing discourse of research on a given topic draft with different reasoning strategies integrate sources and quotes
Additionally, you will critically reflect on the possible pitfalls in regards to originality and time management when using ChatGPT as an aid for composing a research paper.
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the …
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.
Author: Jonahs Kneitly
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the rhetorical analysis writing process to
identify rhetorical situations and strategies evaluate applied logic within a text locate bias and logical fallacies within a text
Additionally, you will be able to develop critical evaluation skills to avoid the possible pitfalls from using GenAI for performing rhetorical analysis.
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the …
This resource offers student-focused tutorials that demonstrate how ChatGPT can augment the writing process for assignments commonly given in a rhetoric and composition course. These tutorials cover the evaluation essay, rhetorical analysis, Rogerian argument, annotated bibliography, and research essay—all while promoting the responsible and ethical use of AI in writing and research. With this comprehensive resource, instructors and students can not only build confidence in their understanding of generative AI within academia, but also build digital literacy that will serve them in the world beyond.
Author: Jonahs Kneitly
By the end of this tutorial, you will be able to utilize a specific formation of generative AI (GenAI)—the prominent Large Language Model (LLM) ChatGPT—as an aid within the Rogerian argument writing process to
determine and refine an appropriate topic argument brainstorm effective counterarguments and concessions locate faulty logic and explore workable solutions
Additionally, you will develop critical evaluation skills to avoid the possible pitfalls with using GenAI for argumentation.
The LLM course is divided into three parts: 🧩 LLM Fundamentals covers …
The LLM course is divided into three parts: 🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks. 🧑🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.
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