Feature Stories
- The End of English Major by Nathan Heller
- The ChatGPT chatbot is blowing people away with its writing skills. An expert explains why it’s so impressive - by Marcel Scharth
- A Conversation With Bing’s Chatbot Left Me Deeply Unsettled by Kevin Roose
- For educators, is ChatGPT the new Wikipedia? by Nicole Saad
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ChatGPT Is a Tipping Point for AI by Ethan Mollick
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What's going on with Bing's AI chatbot? by James Vincent - WBUR Radio story
Resources for Faculty
- Classroom Policies for AI Generative ToolsThis resource is created by Lance Eaton for the purposes of sharing and helping other instructors see the range of policies available by other educators to help in the development of their own for navigating AI-Generative Tools (such as ChatGPT, MidJourney, Dall-E, etc).
Introductory Books
Artificial intelligence : ethical, social, and security impacts for the present and the future by ISBN: 9781787783713Publication Date: 2022This book explores the complex topic of AI ethics in a cross-functional way, alternating between theory and practice. Practical and recent events, and their associated challenges, are presented, such as the collateral effects of the COVID-19 pandemic on the application of AI technologies.
Artificial Intelligence Foundations by ISBN: 1780175302Publication Date: 2021-02-19This introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organization. You will learn how AI is being utilized today and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.
Quick Start Guide to Large Language Models by ISBN: 9780138199197Publication Date: 2023-10-26The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text classification to machine translation. Despite their impressive performance, the use of LLMs remains challenging for many practitioners. This book provides an overview of the key concepts and techniques used in LLMs and explains how these models work and how they can be used for various NLP tasks. The book also covers advanced topics, such as fine-tuning, alignment, and information retrieval while providing practical tips and tricks for training and optimizing LLMs for specific NLP tasks.
Generative Deep Learning by ISBN: 9781098134181Publication Date: 2023-06-06This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Train your own GPT for text generation and learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN. This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
New York Times Coverage
Articles on Artificial Intelligence (AI) from the Technology Section of The New York Times
All Oberlin College students, faculty, and staff can sign up for access to The New York Times
Wall Street Journal Coverage
Recent articles on AI and ChatGPT from the Wall Street Journal
All Oberlin College students, faculty, and staff may sign up for access to the Wall Street Journal
Accessing O'Reilly eBooks
Many of the best technology and computer science books in the Oberlin collection come through the O'Reilly eBook platform, which requires Oberlin users to create individual accounts.
To log in, click the "Institution not listed?" link on the login screen, then enter your Oberlin email address.
