What do we know about generative AI and learning?

Asking Better Questions: A Brewer's Guide to Using Generative Artificial Intelligence Without Being Fooled by It

These tools serve brewers at every career stage, because assembly work is checkable at any level, whereas diagnostic output is something a junior brewer escalates rather than acts on, and AI raises the value of brewing judgment rather than replacing it.

Machine Learning and Generative AI for Marketing

This book provides a comprehensive toolkit for harnessing the power of GenAI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted conversion rates, and increased net sales.

Learning AI Fundamentals

It is proposed that information theory and Bayesian statistics deserve greater emphasis in the curriculum than they currently receive, that the everyday experience of end-user programming is a more honest starting point than the rhetoric of conversational “agents,” and that the proper aim of AI education is to form cri...

Generative AI and Large Language Models for Financial Markets: From Behavioral Prediction to Autonomous Trading

It is shown how recent progress in generative AI becomes genuinely useful in markets when it helps model participant behavior, ground reasoning in live documents and order-flow data, and support research and execution workflows that can survive contact with production.

Why is it (still) difficult to understand black-box models? Explainable artificial intelligence and the experimenters’ regress

Generative AI: Beyond ChatGPT

How Generative AI is evolving beyond ChatGPT is discussed and its potential to support human creativity and problem-solving is explored and the need for reliable, transparent, secure, and responsible AI systems for future applications is emphasized.