Taxonomy Distribution Report

Overview

• Total Concepts: 305
• Number of Taxonomies: 17
• Average Concepts per Taxonomy: 17.9

Distribution Summary

Category	TaxonomyID	Count	Percentage	Status
Capstone Projects	CAP	35	11.5%	✅
Agentic AI	AGENT	30	9.8%	✅
Prompt Techniques	PTECH	27	8.9%	✅
Foundation Concepts	FOUND	20	6.6%	✅
Prompt Fundamentals	PFUND	20	6.6%	✅
Output Format Control	OUTFMT	20	6.6%	✅
Business Applications	BIZAP	20	6.6%	✅
Context and Memory	CTXMEM	15	4.9%	✅
Retrieval-Augmented Generation	RAG	15	4.9%	✅
Multimodal Prompting	MULTI	15	4.9%	✅
Prompt Security	SECUR	15	4.9%	✅
Ethics and Responsible AI	ETHIC	15	4.9%	✅
Educational Applications	EDUAP	15	4.9%	✅
Evaluation and Optimization	EVAL	15	4.9%	✅
Usage Limits and Token Economics	USAGE	15	4.9%	✅
Model Parameters	PARAM	8	2.6%	ℹ️ Under
Prompt Types	PTYPE	5	1.6%	ℹ️ Under

Visual Distribution

Capstone Projects         █████  35 ( 11.5%)
Agentic AI                ████  30 (  9.8%)
Prompt Techniques         ████  27 (  8.9%)
Foundation Concepts       ███  20 (  6.6%)
Prompt Fundamentals       ███  20 (  6.6%)
Output Format Control     ███  20 (  6.6%)
Business Applications     ███  20 (  6.6%)
Context and Memory        ██  15 (  4.9%)
Retrieval-Augmented Gener ██  15 (  4.9%)
Multimodal Prompting      ██  15 (  4.9%)
Prompt Security           ██  15 (  4.9%)
Ethics and Responsible AI ██  15 (  4.9%)
Educational Applications  ██  15 (  4.9%)
Evaluation and Optimizati ██  15 (  4.9%)
Usage Limits and Token Ec ██  15 (  4.9%)
Model Parameters          █   8 (  2.6%)
Prompt Types                 5 (  1.6%)

Balance Analysis

✅ No Over-Represented Categories

All categories are under the 30% threshold. Good balance!

ℹ️ Under-Represented Categories (<3%)

• Model Parameters (PARAM): 8 concepts (2.6%)
• Note: Small categories are acceptable for specialized topics
• Prompt Types (PTYPE): 5 concepts (1.6%)
• Note: Small categories are acceptable for specialized topics

Category Details

Capstone Projects (CAP)

Count: 35 concepts (11.5%)

Concepts:

• 1. Capstone Project Design
• 1. Customer Support Bot
• 1. FAQ Generator System
• 1. Content Pipeline
• 1. Research Assistant
• 1. Code Review Assistant
• 1. Technical Doc Generator
• 1. Meeting Notes System
• 1. Email Triage System
• 1. Data Dashboard Narrator
• 1. Personalized Tutor App
• 1. Quiz and Test Generator
• 1. Writing Coach System
• 1. Resume Analyzer
• 1. Job Description Writer
• ...and 20 more

Agentic AI (AGENT)

Count: 30 concepts (9.8%)

Concepts:

• 1. AI Agent
• 1. Agent Architecture
• 1. Tool Use
• 1. Function Calling
• 1. Planning
• 1. Goal Decomposition
• 1. Action Selection
• 1. Execution Monitoring
• 1. Feedback Loop
• 1. Self-Correction
• 1. Autonomous Workflow
• 1. Multi-Step Reasoning
• 1. Agent Orchestration
• 1. Skill
• 1. Skill Library
• ...and 15 more

Prompt Techniques (PTECH)

Count: 27 concepts (8.9%)

Concepts:

• 1. Zero-Shot Prompting
• 1. One-Shot Prompting
• 1. Few-Shot Prompting
• 1. Example Selection
• 1. Chain-of-Thought Prompting
• 1. Step-by-Step Reasoning
• 1. Self-Consistency
• 1. Tree of Thoughts
• 1. Prompt Chaining
• 1. Prompt Templates
• 1. Reusable Prompts
• 1. Role Assignment
• 1. Persona Prompting
• 1. System Prompt
• 1. User Prompt
• ...and 12 more

Foundation Concepts (FOUND)

Count: 20 concepts (6.6%)

Concepts:

• 1. Artificial Intelligence
• 1. Machine Learning
• 1. Natural Language Processing
• 1. Large Language Model
• 1. Neural Network Basics
• 1. Transformer Architecture
• 1. Token
• 1. Tokenization
• 1. Context Window
• 1. Training Data
• 1. Model Parameters
• 1. Inference
• 1. Generative AI
• 1. Foundation Model
• 1. Pre-Training
• ...and 5 more

Prompt Fundamentals (PFUND)

Count: 20 concepts (6.6%)

Concepts:

• 1. Prompt
• 1. Prompt Engineering
• 1. Input-Output Paradigm
• 1. Prompt Structure
• 1. Instruction Clarity
• 1. Specificity
• 1. Ambiguity Avoidance
• 1. Task Decomposition
• 1. Prompt Length
• 1. Prompt Iteration
• 1. Prompt Testing
• 1. Response Quality
• 1. Response Evaluation
• 1. Relevance
• 1. Accuracy
• ...and 5 more

Output Format Control (OUTFMT)

Count: 20 concepts (6.6%)

Concepts:

• 1. Output Format Specification
• 1. Markdown Generation
• 1. JSON Output
• 1. CSV Output
• 1. Table Generation
• 1. List Generation
• 1. Code Generation
• 1. Structured Data Output
• 1. Schema-Guided Output
• 1. XML Output
• 1. YAML Output
• 1. HTML Generation
• 1. Bullet Points
• 1. Numbered Lists
• 1. Hierarchical Output
• ...and 5 more

Business Applications (BIZAP)

Count: 20 concepts (6.6%)

Concepts:

• 1. Business Use Cases
• 1. Customer Service Chatbot
• 1. Content Marketing
• 1. Email Drafting
• 1. Meeting Summarization
• 1. Report Automation
• 1. Data Analysis Prompting
• 1. Market Research
• 1. Competitive Analysis
• 1. Product Description
• 1. Social Media Content
• 1. SEO Optimization
• 1. Proposal Writing
• 1. Contract Review
• 1. Training Material Design
• ...and 5 more

Context and Memory (CTXMEM)

Count: 15 concepts (4.9%)

Concepts:

• 1. Context Management
• 1. Context Window Limits
• 1. Token Counting
• 1. Conversation History
• 1. Memory in AI Systems
• 1. Stateless Interaction
• 1. Session Persistence
• 1. Long-Form Context
• 1. Document Summarization
• 1. Information Extraction
• 1. Key Point Identification
• 1. Relevance Filtering
• 1. Context Injection
• 1. Background Information
• 1. Domain Knowledge Priming

Retrieval-Augmented Generation (RAG)

Count: 15 concepts (4.9%)

Concepts:

• 1. Retrieval-Augmented Gen
• 1. Knowledge Base
• 1. Vector Database
• 1. Embedding
• 1. Semantic Search
• 1. Document Chunking
• 1. Source Citation
• 1. Grounding
• 1. Hallucination
• 1. Factual Accuracy
• 1. Knowledge Cutoff
• 1. Real-Time Information
• 1. External Data Integration
• 1. Search-Enhanced Prompting
• 1. Evidence-Based Responses

Multimodal Prompting (MULTI)

Count: 15 concepts (4.9%)

Concepts:

• 1. Multimodal AI
• 1. Image Prompting
• 1. Image Description
• 1. Visual Question Answering
• 1. Document Analysis
• 1. PDF Processing
• 1. Code Interpretation
• 1. Chart Reading
• 1. Diagram Understanding
• 1. Screenshot Analysis
• 1. Audio Transcription
• 1. Video Understanding
• 1. Image Generation Prompts
• 1. Alt Text Generation
• 1. Data Visualization Prompt

Prompt Security (SECUR)

Count: 15 concepts (4.9%)

Concepts:

• 1. Prompt Injection
• 1. Direct Injection
• 1. Indirect Injection
• 1. Jailbreaking
• 1. Adversarial Prompts
• 1. Input Validation
• 1. Output Filtering
• 1. Content Moderation
• 1. Safety Guidelines
• 1. Guardrails
• 1. Red Teaming
• 1. Prompt Leaking
• 1. Data Exfiltration Risk
• 1. Defense Strategies
• 1. Responsible Disclosure

Ethics and Responsible AI (ETHIC)

Count: 15 concepts (4.9%)

Concepts:

• 1. AI Ethics
• 1. Bias in AI
• 1. Fairness
• 1. Transparency
• 1. Explainability
• 1. Accountability
• 1. Privacy Considerations
• 1. Consent and Data Use
• 1. Intellectual Property
• 1. Copyright Considerations
• 1. Attribution
• 1. Misinformation Risk
• 1. Deepfake Awareness
• 1. Environmental Impact
• 1. Inclusive Language

Educational Applications (EDUAP)

Count: 15 concepts (4.9%)

Concepts:

• 1. AI-Assisted Learning
• 1. Personalized Tutoring
• 1. Quiz Generation
• 1. Rubric Creation
• 1. Lesson Plan Design
• 1. Differentiated Instruction
• 1. Formative Assessment
• 1. Feedback Generation
• 1. Study Guide Creation
• 1. Concept Explanation
• 1. Analogy Generation
• 1. Bloom Taxonomy Alignment
• 1. Learning Objective Design
• 1. Curriculum Development
• 1. Accessibility in Education

Evaluation and Optimization (EVAL)

Count: 15 concepts (4.9%)

Concepts:

• 1. Prompt Evaluation
• 1. A/B Testing Prompts
• 1. Evaluation Metrics
• 1. Human Evaluation
• 1. Automated Evaluation
• 1. Benchmark Testing
• 1. Quality Rubric Design
• 1. Cost Optimization
• 1. Latency Optimization
• 1. Token Efficiency
• 1. Batch Processing
• 1. Model Selection
• 1. Model Comparison
• 1. Performance Monitoring
• 1. API Pricing Models

Usage Limits and Token Economics (USAGE)

Count: 15 concepts (4.9%)

Concepts:

• 1. Rate Limiting
• 1. Usage Quota
• 1. Five-Hour Token Window
• 1. Token Budget
• 1. Token Cost Estimation
• 1. Token Usage Monitoring
• 1. Input Token Count
• 1. Output Token Count
• 1. Prompt Cost Calculation
• 1. Usage Dashboard
• 1. Throttling
• 1. Cooldown Period
• 1. Plan Tiers and Limits
• 1. Overage Handling
• 1. Cost-Effective Prompting

Model Parameters (PARAM)

Count: 8 concepts (2.6%)

Concepts:

• 1. Temperature Setting
• 1. Top-P Sampling
• 1. Frequency Penalty
• 1. Presence Penalty
• 1. Max Tokens Setting
• 1. Stop Sequences
• 1. Seed Parameter
• 1. Reproducibility

Prompt Types (PTYPE)

Count: 5 concepts (1.6%)

Concepts:

• 1. Directive Prompts
• 1. Interrogative Prompts
• 1. Open-Ended Prompts
• 1. Closed-Ended Prompts
• 1. Conversational Prompts

Recommendations

• ✅ Excellent balance: Categories are evenly distributed (spread: 9.8%)
• ✅ MISC category minimal: Good categorization specificity

Educational Use Recommendations

• Use taxonomy categories for color-coding in graph visualizations
• Design curriculum modules based on taxonomy groupings
• Create filtered views for focused learning paths
• Use categories for assessment organization
• Enable navigation by topic area in interactive tools

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Report generated by learning-graph-reports/taxonomy_distribution.py