Category Foundations


Three Types of AI

In this video, Dr. Matthew Hudnall breaks down the three main types of artificial intelligence, explaining their distinct capabilities and potential impacts to help you better understand both the present and future of AI.


Retrieval-Augmented Generation (RAG)

In this video, Dr. Matthew Hudnall introduces retrieval-augmented generation (RAG), a technique that combines AI’s ability to generate text with real-time information retrieval, addressing one of the biggest limitations of traditional models.


Multidimensional Encoding

In this video, Dr. Matthew Hudnall shares how AI understands complex relationships between words, images, and sounds through multidimensional encoding, a mathematical technique that enables AI to translate languages, recognize patterns, and generate content with remarkable human-like understanding.


Not All AI Are the Same

Dr. Matthew Hudnall explains how the blanket term “AI” makes up a diverse ecosystem of specialized systems, from Netflix recommendation engines to self-driving car sensors to creative content generators. Understanding these different types of AI helps you choose the right tool for each task and set realistic expectations for what each system can actually do.


Supervised vs. Unsupervised Learning

Dr. Matthew Hudnall explores how supervised and unsupervised learning differ, and why both are essential to understanding how AI solves problems and reveals hidden patterns.


Reinforcement Learning from Human Feedback (RLHF)

Dr. Matthew Hudnall explains how reinforcement learning from human feedback (RLHF) teaches AI models to align with human expectations, making them more accurate, polite, and useful while also highlighting its ethical challenges.


How Does Gen AI Work?

In this video, Dr. Matthew Hudnall demystifies generative AI, showing how it learns patterns from massive datasets to create original stories, images, music, and more, not through magic, but through powerful prediction at scale.


Guardrails

Dr. Matthew Hudnall explains why guardrails are essential to ensure safety, fairness, and ethical use as AI becomes more prominent and powerful.


AI is not the Death of Faculty Expertise

Artificial intelligence is a powerful tool that enhances, rather than replaces, the expertise of educators, acting as an invaluable teaching assistant. This video explores how AI supports educators while human judgment remains essential for nuanced teaching and decision-making.


AI is not Always the Answer

Like the calculator, AI can be a powerful tool to enhance student learning; however it should not be used to replace the development of foundational skills. In this video Dr. Lawrence discusses the nuance of AI use in the classroom and leverage AI effectively, ensuring students build essential skills while benefiting from advanced technology.