This lesson introduces students to the concept of foundation models, focusing on their role in AI development and the countries at the forefront of their creation. Students will learn the significance of foundation models and explore the implications of a concentrated geographical distribution of these models.

In this lesson, students will learn about language models and why AI models like ChatGPT are called “Large Language Models” (LLMs). They will develop a fundamental knowledge of what makes an LLM “large” and how parameters are important to understanding an LLM’s capabilities, data needs, and power requirements.

In this lesson, students will gain a general overview of various Large Language Models (LLMs), their functions, and their applications in everyday life. By the end of the lesson, they will be able to explain what an LLM is, recognize its uses, and identify some of the popular LLMs currently available.

In this lesson, students explore AI “under the hood” by learning how sensory information is converted into data and used for mathematical operations that make an AI “intelligent”. Students will learn that visual data has features like brightness, and distance (like between parts of a face) and is used in applications like facial recognition. Along the way, students will be able to connect these technical processes to social consequences such as bias, and learn to treat AI with skepticism.

In this lesson, students will watch an online video presenting the history of artificial intelligence, which goes back to the 1950s. They will also learn how current artificial intelligence technologies build on that history.

In this lesson, students will explore the idea of Artificial Intelligence (AI) by looking at a concrete example of AI which uses machine learning to distinguish objects in an application called Teachable Machines.