Generative AI and Symbolic Reasoning
Johns Hopkins University
The course "Generative AI" provides an in-depth exploration of generative AI, focusing on both the theory and practical applications of transformers, large language models, and symbolic AI. By completing the course, learners will gain a comprehensive understanding of how these technologies work and how they can be integrated to solve complex problems and generate new content. Through real-world case studies, students will analyze the strengths and weaknesses of generative AI systems, preparing t
About this Course
The course "Generative AI" provides an in-depth exploration of generative AI, focusing on both the theory and practical applications of transformers, large language models, and symbolic AI. By completing the course, learners will gain a comprehensive understanding of how these technologies work and how they can be integrated to solve complex problems and generate new content. Through real-world case studies, students will analyze the strengths and weaknesses of generative AI systems, preparing t
What You'll Learn
- Understand the theory and applications of generative AI, including transformers, large language models, and symbolic reasoning for content creation.
- Explore how AI integrates with generative models to improve explainability, control, and responsible AI solutions in real-world applications.
- Learn how to manage AI projects at scale, focusing on integrating generative and symbolic AI to address ethical considerations.
Instructors
Ian McCulloh