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Starts 6 June 2025 09:14
Ends 6 June 2025
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Custom, Compact, and Composite AI Systems
Explore the evolution of AI systems from monolithic models to "compound" systems and "agentic" frameworks, focusing on the Custom, Compact, and Composite AI with Neurosymbolic approach for building robust, intelligent AI.
AI Institute at UofSC - #AIISC
via YouTube
AI Institute at UofSC - #AIISC
2484 Courses
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Overview
Explore the evolution of AI systems from monolithic models to "compound" systems and "agentic" frameworks, focusing on the Custom, Compact, and Composite AI with Neurosymbolic approach for building robust, intelligent AI.
Syllabus
- Introduction to AI Systems
- Custom AI Systems
- Compact AI Systems
- Composite AI Systems
- Neurosymbolic AI
- Building Robust, Intelligent AI
- Case Studies and Practical Applications
- Challenges and Ethical Considerations
- Conclusion and Future Outlook
Overview of AI evolution
Monolithic vs. Compound Models
Agentic Frameworks in AI
Definition and Importance
Techniques for Customization
Case Studies: Industry Applications
Characteristics of Compact Models
Efficiency in AI: Strengths and Limitations
Building Lightweight AI Models
Integrating Multiple AI Components
Synergy between Differing AI Modalities
Real-world Uses of Composite Systems
Fundamentals of Neurosymbolic Integration
Benefits over Traditional AI Models
Implementation Strategies for Robust AI
Design Considerations for AI Systems
Error Handling and Resilience
Future Directions in AI Development
Analysis of Successful AI Projects
Hands-on Projects: Building AI Model Prototypes
Addressing Bias and Fairness
Responsible AI Deployment
Trends in AI System Evolution
Opportunities in Custom, Compact, and Composite AI Systems
Subjects
Computer Science
