Concept#AI#Software Engineering
Prompt Engineering
Prompt engineering comprises principles and techniques for crafting inputs to large AI models to elicit desired answers, formats, and behaviors. It combines linguistic precision, iterative testing, and context design. Goals are reliability, robustness, and efficient use of models across technical and product-focused applications.
This block bundles baseline information, context, and relations as a neutral reference in the model.
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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
Domain
Organizational maturityi
Intermediate
Impact areai
Technical
Decision
Decision typei
Design
Value stream stagei
Build
Assessment
Complexityi
Medium
Maturityi
Emerging
Cognitive loadi
Medium
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.
Dependency · Requires
(1)
Process · Influences
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Structure · Contains
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