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.