These slides trace the shift from task-specific AI to foundation models: large, general-purpose models trained on broad data that generalize and adapt without retraining from scratch for every use case.

Each slide explores both sides of this shift – what foundation models enable across LLMs, multimodal AI, and adaptive systems, and the real challenges they bring.

For a full definition and a full breakdown of how these models work, check our glossary article on foundation models for AI.