Concept#AI#Machine Learning
Foundation Models
Foundation models are large pretrained AI models that serve as a general-purpose base for many downstream tasks. They are trained on broad data collections and adapted via fine-tuning or prompting for specific applications. Their adoption requires careful governance, data strategy, and security considerations.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Open 360° detail view
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context
Organizational leveli
Enterprise
Organizational maturityi
Intermediate
Impact areai
Technical
Decision
Decision typei
Architectural
Value stream stagei
Build
Assessment
Complexityi
High
Maturityi
Emerging
Cognitive loadi
High
Context in the model
Structural placement
Where this block lives in the structure.
Relations
Connected blocks
Directly linked content elements.
Dependency · Provides
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