Foundation Model
A broadly trained model that can be adapted through prompting, retrieval or further training for many downstream tasks.
Foundation Model is a broadly trained model that can be adapted through prompting, retrieval or further training for many downstream tasks.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Business context
CONTROL
Foundation Model
OUTCOME
Decision or action
FOUNDATIONS
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Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
AI-grundläggande: Ett teamrespons
AI foundations: A team response
AI foundations: A data boundary
AI foundations: A customer-facing moment
AI foundations: An investment choice
AI foundations: An ownership gap
AI-fundamenter: En ejerlavning
AI-Grundlagen: Eine Datenbegrenzung
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