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AI Mechanisms
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molecules
Folder: 05-ai-mechanisms/molecules
79 items under this folder.
Jan 03, 2026
AGILE Index Framework
Jan 03, 2026
AI-Assisted Taxonomy Maintenance
Jan 03, 2026
The Capability-Alignment Gap
Jan 03, 2026
Chain-of-Thought Prompting
Jan 03, 2026
Chain-of-Verification
Jan 03, 2026
Learning From Wrong Answers Improves Reasoning
Jan 03, 2026
Conventional vs LLM-Based RAG Evaluation
Jan 03, 2026
Country Typology for AI Governance
Jan 03, 2026
Decomposition Serves Purpose, Not Truth
Jan 03, 2026
Democratic Risk Taxonomy for AI Systems
Jan 03, 2026
Distributed Responsibility Across AI Actors
Jan 03, 2026
Dynamic Retrieval Triggering
Jan 03, 2026
Dynamic Trust Calibration
Jan 03, 2026
EU vs. US AI Governance Approaches
Jan 03, 2026
Exemplar Design Principles
Jan 03, 2026
General-Purpose AI Model Governance
Jan 03, 2026
Govern-Map-Measure-Manage Framework
Jan 03, 2026
Governance as Cross-Cutting Function
Jan 03, 2026
HAIC Evaluation by Collaboration Mode
Jan 03, 2026
Hallucination Causes Lifecycle
Jan 03, 2026
Linear to Graph: The Evolution of LLM Reasoning Structures
Jan 03, 2026
LLM Hallucination Taxonomy
Jan 03, 2026
LLM Judges vs Fine-Tuned Evaluation Models
Jan 03, 2026
LLM vs Human Oracle Comparison
Jan 03, 2026
Five-Dimensional MAS Collaboration Framework
Jan 03, 2026
Metacognitive Prompting
Jan 03, 2026
Modular Prompting Pattern
Jan 03, 2026
Multi-Dimensional LLM Evaluation Framework
Jan 03, 2026
Phased AI Governance Implementation
Jan 03, 2026
Preparadigmatic Field Dynamics
Jan 03, 2026
Prompt Engineering Taxonomy by Purpose
Jan 03, 2026
Prompting Technique Taxonomy
Jan 03, 2026
Prompting Techniques by Task Type
Jan 03, 2026
RAG Architecture Taxonomy
Jan 03, 2026
RAG Enterprise Challenges
Jan 03, 2026
RAG Evaluation as Diagnostic, Not Scorecard
Jan 03, 2026
RAG Evaluation Dimensions
Jan 03, 2026
RAG Evaluation Targets Framework
Jan 03, 2026
RAG Evolution: From Pipelines to Agents (2017–2025)
Jan 03, 2026
RAG Safety Evaluation Taxonomy
Jan 03, 2026
RAG Technical Architecture
Jan 03, 2026
ReAct: Interleaving Reasoning and Action
Jan 03, 2026
Regulation as Learning Framework
Jan 03, 2026
Regulatory Learning Space Framework
Jan 03, 2026
Risk-Based AI Classification Framework
Jan 03, 2026
Role-Based Agent Specialization
Jan 03, 2026
Self-Assessing AI Pattern
Jan 03, 2026
Self-Consistency Through Diverse Sampling
Jan 03, 2026
Seven Pillars of Trustworthy AI
Jan 03, 2026
Stakeholder-Adaptive Risk Scoring
Jan 03, 2026
Technology Pacing Problem
Jan 03, 2026
Tool Delegation Pattern
Jan 03, 2026
The Triadic Human-AI Collaboration Model
Jan 03, 2026
Trustworthy AI as Composite Characteristic
Jan 02, 2026
The Attention Mechanism
Jan 02, 2026
Attention vs. Recurrence
Jan 02, 2026
Boundary Erosion in ML Systems
Jan 02, 2026
FATA Framework
Jan 02, 2026
Generative AI → AI Agent → Agentic AI
Jan 02, 2026
Internal vs. Grounded Reasoning
Jan 02, 2026
KGs as Agent Memory Infrastructure
Jan 02, 2026
LLM Knowledge Archaeology
Jan 02, 2026
Memoryless Decomposition Pattern
Jan 02, 2026
ML Process Maturity Model
Jan 02, 2026
ML System Anti-Patterns
Jan 02, 2026
ML Technical Debt Taxonomy
Jan 02, 2026
ML vs. Traditional Software Modularity
Jan 02, 2026
Persona Utility Principle
Jan 02, 2026
Prompt Engineering for Diversity
Jan 02, 2026
Strategy Is Psychology, Not Technology
Jan 02, 2026
Targeted LLM Intervention Pattern
Jan 02, 2026
The Task Complexity Gradient
Jan 02, 2026
Task-Specific Optimization Over Generic Tuning
Jan 02, 2026
The Thought-Action-Observation Pattern
Jan 02, 2026
Two-Stage Modular Prompting
Jan 02, 2026
Vector RAG vs Graph RAG
Jan 01, 2026
AI Governance Analogues Comparison
Jan 01, 2026
Label Distillation Pattern
Jan 01, 2026
LSTM vs. GBM for Text Classification