What is the global significance of foundation models?
Overview
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.
- About AI
- 75 minutes
Digital Materials
- Other
- Foundation Models and Global Development _Lesson Slides
- Foundation Models: An Explainer for Non-Experts – Stanford HAI
- Article 1: Why China, and now Taiwan, are making their own chatbots using their own data – NPR
- Article 2: Time for APAC Region to Build Its Own AI Foundation Models, Says CSIRO – Tech Republic
- Article 3: BigScience launches open-source LLM, BLOOM – Multilingual
Objectives
After this experience, students will be able to
- Define foundation models and understand their applications.
- Identify countries leading the development of foundation models.
- Explore the benefits and implications of having foundation models concentrated in specific countries.
- Discuss the pros and cons of multi-country collaborations in developing foundation models.
Questions explored
- What is a foundation model, and what are its uses?
- Which countries lead in developing foundation models, and why?
- What are the implications of having these models concentrated in specific countries?
- What are the pros and cons of developing foundation models through multi-country collaboration?
Key Terms
Artificial Intelligence
- The ability of computers to imitate human-like thinking, learning, and problem-solving.
Foundation Models
- Large AI models trained on broad and massive datasets, enabling them to perform tasks across a wide range of domains.