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CONCEPT_MAP_JSON = """ |
|
{ |
|
"central_node": "Artificial Intelligence (AI)", |
|
"nodes": [ |
|
{ |
|
"id": "ml_fundamental", |
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"label": "Machine Learning", |
|
"relationship": "is essential for", |
|
"subnodes": [ |
|
{ |
|
"id": "dl_branch", |
|
"label": "Deep Learning", |
|
"relationship": "for example", |
|
"subnodes": [ |
|
{ |
|
"id": "cnn_example", |
|
"label": "CNNs", |
|
"relationship": "for example" |
|
}, |
|
{ |
|
"id": "rnn_example", |
|
"label": "RNNs", |
|
"relationship": "for example" |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "rl_branch", |
|
"label": "Reinforcement Learning", |
|
"relationship": "for example", |
|
"subnodes": [ |
|
{ |
|
"id": "qlearning_example", |
|
"label": "Q-Learning", |
|
"relationship": "example" |
|
}, |
|
{ |
|
"id": "pg_example", |
|
"label": "Policy Gradients", |
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"relationship": "example" |
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} |
|
] |
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} |
|
] |
|
}, |
|
{ |
|
"id": "ai_types", |
|
"label": "Types", |
|
"relationship": "formed by", |
|
"subnodes": [ |
|
{ |
|
"id": "agi_type", |
|
"label": "AGI", |
|
"relationship": "this is", |
|
"subnodes": [ |
|
{ |
|
"id": "strong_ai", |
|
"label": "Strong AI", |
|
"relationship": "provoked by", |
|
"subnodes": [ |
|
{ |
|
"id": "human_intel", |
|
"label": "Human-level Intel.", |
|
"relationship": "of" |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "ani_type", |
|
"label": "ANI", |
|
"relationship": "this is", |
|
"subnodes": [ |
|
{ |
|
"id": "weak_ai", |
|
"label": "Weak AI", |
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"relationship": "provoked by", |
|
"subnodes": [ |
|
{ |
|
"id": "narrow_tasks", |
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"label": "Narrow Tasks", |
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"relationship": "of" |
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} |
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] |
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} |
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] |
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} |
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] |
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}, |
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{ |
|
"id": "ai_capabilities", |
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"label": "Capabilities", |
|
"relationship": "change", |
|
"subnodes": [ |
|
{ |
|
"id": "data_proc", |
|
"label": "Data Processing", |
|
"relationship": "can", |
|
"subnodes": [ |
|
{ |
|
"id": "big_data", |
|
"label": "Big Data", |
|
"relationship": "as", |
|
"subnodes": [ |
|
{ |
|
"id": "analysis_example", |
|
"label": "Data Analysis", |
|
"relationship": "example" |
|
}, |
|
{ |
|
"id": "prediction_example", |
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"label": "Prediction", |
|
"relationship": "example" |
|
} |
|
] |
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} |
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] |
|
}, |
|
{ |
|
"id": "decision_making", |
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"label": "Decision Making", |
|
"relationship": "can be", |
|
"subnodes": [ |
|
{ |
|
"id": "automation", |
|
"label": "Automation", |
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"relationship": "as", |
|
"subnodes": [ |
|
{ |
|
"id": "robotics_example", |
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"label": "Robotics", |
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"relationship": "Example"}, |
|
{ |
|
"id": "autonomous_example", |
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"label": "Autonomous Vehicles", |
|
"relationship": "of one" |
|
} |
|
] |
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} |
|
] |
|
}, |
|
{ |
|
"id": "problem_solving", |
|
"label": "Problem Solving", |
|
"relationship": "can", |
|
"subnodes": [ |
|
{ |
|
"id": "optimization", |
|
"label": "Optimization", |
|
"relationship": "as is", |
|
"subnodes": [ |
|
{ |
|
"id": "algorithms_example", |
|
"label": "Algorithms", |
|
"relationship": "for example" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
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} |
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""" |
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|
|
|
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SYNOPTIC_CHART_JSON = """ |
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{ |
|
"central_node": "AI Project Lifecycle", |
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"nodes": [ |
|
{ |
|
"id": "phase1", |
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"label": "I. Problem Definition & Data Acquisition", |
|
"relationship": "Starts with", |
|
"subnodes": [ |
|
{ |
|
"id": "sub1_1", |
|
"label": "1. Problem Formulation", |
|
"relationship": "Involves", |
|
"subnodes": [ |
|
{"id": "sub1_1_1", "label": "1.1. Identify Business Need", "relationship": "e.g."}, |
|
{"id": "sub1_1_2", "label": "1.2. Define KPIs", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "sub1_2", |
|
"label": "2. Data Collection", |
|
"relationship": "Followed by", |
|
"subnodes": [ |
|
{"id": "sub1_2_1", "label": "2.1. Source Data", "relationship": "from"}, |
|
{"id": "sub1_2_2", "label": "2.2. Data Cleaning", "relationship": "includes"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "phase2", |
|
"label": "II. Model Development", |
|
"relationship": "Proceeds to", |
|
"subnodes": [ |
|
{ |
|
"id": "sub2_1", |
|
"label": "1. Feature Engineering", |
|
"relationship": "Comprises", |
|
"subnodes": [ |
|
{"id": "sub2_1_1", "label": "1.1. Feature Selection", "relationship": "e.g."}, |
|
{"id": "sub2_1_2", "label": "1.2. Feature Transformation", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "sub2_2", |
|
"label": "2. Model Training", |
|
"relationship": "Involves", |
|
"subnodes": [ |
|
{"id": "sub2_2_1", "label": "2.1. Algorithm Selection", "relationship": "uses"}, |
|
{"id": "sub2_2_2", "label": "2.2. Hyperparameter Tuning", "relationship": "optimizes"} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "phase3", |
|
"label": "III. Evaluation & Deployment", |
|
"relationship": "Culminates in", |
|
"subnodes": [ |
|
{ |
|
"id": "sub3_1", |
|
"label": "1. Model Evaluation", |
|
"relationship": "Includes", |
|
"subnodes": [ |
|
{"id": "sub3_1_1", "label": "1.1. Performance Metrics", "relationship": "measures"}, |
|
{"id": "sub3_1_2", "label": "1.2. Bias & Fairness Audits", "relationship": "ensures"} |
|
] |
|
}, |
|
{ |
|
"id": "sub3_2", |
|
"label": "2. Deployment & Monitoring", |
|
"relationship": "Requires", |
|
"subnodes": [ |
|
{"id": "sub3_2_1", "label": "2.1. API/Integration Development", "relationship": "for"}, |
|
{"id": "sub3_2_2", "label": "2.2. Continuous Monitoring", "relationship": "ensures"} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
""" |
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|
|
|
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RADIAL_DIAGRAM_JSON = """ |
|
{ |
|
"central_node": "AI Core Concepts & Domains", |
|
"nodes": [ |
|
{ |
|
"id": "foundational_ml", |
|
"label": "Foundational ML", |
|
"relationship": "builds on", |
|
"subnodes": [ |
|
{"id": "supervised_l", "label": "Supervised Learning", "relationship": "e.g."}, |
|
{"id": "unsupervised_l", "label": "Unsupervised Learning", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "dl_architectures", |
|
"label": "Deep Learning Arch.", |
|
"relationship": "evolved from", |
|
"subnodes": [ |
|
{"id": "cnns_rad", "label": "CNNs", "relationship": "e.g."}, |
|
{"id": "rnns_rad", "label": "RNNs", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "major_applications", |
|
"label": "Major AI Applications", |
|
"relationship": "applied in", |
|
"subnodes": [ |
|
{"id": "nlp_rad", "label": "Natural Language Processing", "relationship": "e.g."}, |
|
{"id": "cv_rad", "label": "Computer Vision", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "ethical_concerns", |
|
"label": "Ethical AI Concerns", |
|
"relationship": "addresses", |
|
"subnodes": [ |
|
{"id": "fairness_rad", "label": "Fairness & Bias", "relationship": "e.g."}, |
|
{"id": "explainability", "label": "Explainability (XAI)", "relationship": "e.g."} |
|
] |
|
}, |
|
{ |
|
"id": "future_trends", |
|
"label": "Future AI Trends", |
|
"relationship": "looking at", |
|
"subnodes": [ |
|
{"id": "agi_future", "label": "AGI Development", "relationship": "e.g."}, |
|
{"id": "quantum_ai", "label": "Quantum AI", "relationship": "e.g."} |
|
] |
|
} |
|
] |
|
} |
|
""" |
|
|
|
PROCESS_FLOW_JSON = """ |
|
{ |
|
"start_node": "Start Inference Request", |
|
"nodes": [ |
|
{ |
|
"id": "user_input", |
|
"label": "Receive User Input (Data)", |
|
"type": "io" |
|
}, |
|
{ |
|
"id": "preprocess_data", |
|
"label": "Preprocess Data", |
|
"type": "process" |
|
}, |
|
{ |
|
"id": "validate_data", |
|
"label": "Validate Data Format/Type", |
|
"type": "decision" |
|
}, |
|
{ |
|
"id": "data_valid_yes", |
|
"label": "Data Valid?", |
|
"type": "decision" |
|
}, |
|
{ |
|
"id": "load_model", |
|
"label": "Load AI Model (if not cached)", |
|
"type": "process" |
|
}, |
|
{ |
|
"id": "run_inference", |
|
"label": "Run AI Model Inference", |
|
"type": "process" |
|
}, |
|
{ |
|
"id": "postprocess_output", |
|
"label": "Postprocess Model Output", |
|
"type": "process" |
|
}, |
|
{ |
|
"id": "send_response", |
|
"label": "Send Response to User", |
|
"type": "io" |
|
}, |
|
{ |
|
"id": "log_error", |
|
"label": "Log Error & Notify User", |
|
"type": "process" |
|
}, |
|
{ |
|
"id": "end_inference_process", |
|
"label": "End Inference Process", |
|
"type": "end" |
|
} |
|
], |
|
"connections": [ |
|
{"from": "start_node", "to": "user_input", "label": "Request"}, |
|
{"from": "user_input", "to": "preprocess_data", "label": "Data Received"}, |
|
{"from": "preprocess_data", "to": "validate_data", "label": "Cleaned"}, |
|
{"from": "validate_data", "to": "data_valid_yes", "label": "Check"}, |
|
{"from": "data_valid_yes", "to": "load_model", "label": "Yes"}, |
|
{"from": "data_valid_yes", "to": "log_error", "label": "No"}, |
|
{"from": "load_model", "to": "run_inference", "label": "Model Ready"}, |
|
{"from": "run_inference", "to": "postprocess_output", "label": "Output Generated"}, |
|
{"from": "postprocess_output", "to": "send_response", "label": "Ready"}, |
|
{"from": "send_response", "to": "end_inference_process", "label": "Response Sent"}, |
|
{"from": "log_error", "to": "end_inference_process", "label": "Error Handled"} |
|
] |
|
} |
|
""" |
|
|
|
|
|
WBS_DIAGRAM_JSON = """ |
|
{ |
|
"project_title": "AI Development Project", |
|
"root": { |
|
"id": "level_1", |
|
"label": "<Project Title>", |
|
"children": [ |
|
{ |
|
"id": "level_2_prep", |
|
"label": "Preparation", |
|
"children": [ |
|
{ |
|
"id": "level_3_vision", |
|
"label": "Identify Vision", |
|
"children": [ |
|
{ |
|
"id": "level_4_analysis", |
|
"label": "Stakeholder Analysis", |
|
"children": [ |
|
{ |
|
"id": "level_5_requirements", |
|
"label": "Requirements Gathering", |
|
"children": [ |
|
{ |
|
"id": "level_6_validation", |
|
"label": "Validation Process", |
|
"children": [ |
|
{ |
|
"id": "level_7_final", |
|
"label": "Final Documentation" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_design", |
|
"label": "Design and Staffing", |
|
"children": [ |
|
{ |
|
"id": "level_4_architecture", |
|
"label": "AI Architecture", |
|
"children": [ |
|
{ |
|
"id": "level_5_model_selection", |
|
"label": "Model Selection", |
|
"children": [ |
|
{ |
|
"id": "level_6_benchmarking", |
|
"label": "Performance Benchmarking", |
|
"children": [ |
|
{ |
|
"id": "level_7_optimization", |
|
"label": "Model Optimization" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_other_prep", |
|
"label": "<Other Task>", |
|
"children": [ |
|
{ |
|
"id": "level_4_data_prep", |
|
"label": "Data Preparation", |
|
"children": [ |
|
{ |
|
"id": "level_5_data_collection", |
|
"label": "Data Collection", |
|
"children": [ |
|
{ |
|
"id": "level_6_data_cleaning", |
|
"label": "Data Cleaning", |
|
"children": [ |
|
{ |
|
"id": "level_7_data_validation", |
|
"label": "Data Validation" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_2_planning", |
|
"label": "Planning", |
|
"children": [ |
|
{ |
|
"id": "level_3_cost", |
|
"label": "Cost Analysis", |
|
"children": [ |
|
{ |
|
"id": "level_4_budget", |
|
"label": "Budget Planning", |
|
"children": [ |
|
{ |
|
"id": "level_5_resource_alloc", |
|
"label": "Resource Allocation", |
|
"children": [ |
|
{ |
|
"id": "level_6_cost_tracking", |
|
"label": "Cost Tracking", |
|
"children": [ |
|
{ |
|
"id": "level_7_budget_review", |
|
"label": "Budget Review" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_benefit", |
|
"label": "Benefit Analysis", |
|
"children": [ |
|
{ |
|
"id": "level_4_roi", |
|
"label": "ROI Calculation", |
|
"children": [ |
|
{ |
|
"id": "level_5_metrics", |
|
"label": "Success Metrics", |
|
"children": [ |
|
{ |
|
"id": "level_6_kpi", |
|
"label": "KPI Definition", |
|
"children": [ |
|
{ |
|
"id": "level_7_measurement", |
|
"label": "Measurement Plan" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_risk", |
|
"label": "Risk Assessment", |
|
"children": [ |
|
{ |
|
"id": "level_4_risk_id", |
|
"label": "Risk Identification", |
|
"children": [ |
|
{ |
|
"id": "level_5_mitigation", |
|
"label": "Mitigation Strategies", |
|
"children": [ |
|
{ |
|
"id": "level_6_contingency", |
|
"label": "Contingency Planning", |
|
"children": [ |
|
{ |
|
"id": "level_7_risk_monitoring", |
|
"label": "Risk Monitoring" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_2_development", |
|
"label": "Development", |
|
"children": [ |
|
{ |
|
"id": "level_3_change", |
|
"label": "Change Management", |
|
"children": [ |
|
{ |
|
"id": "level_4_process", |
|
"label": "Process Definition", |
|
"children": [ |
|
{ |
|
"id": "level_5_workflow", |
|
"label": "Workflow Design", |
|
"children": [ |
|
{ |
|
"id": "level_6_automation", |
|
"label": "Process Automation", |
|
"children": [ |
|
{ |
|
"id": "level_7_monitoring", |
|
"label": "Process Monitoring" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_implementation", |
|
"label": "Implementation", |
|
"children": [ |
|
{ |
|
"id": "level_4_deployment", |
|
"label": "Model Deployment", |
|
"children": [ |
|
{ |
|
"id": "level_5_integration", |
|
"label": "System Integration", |
|
"children": [ |
|
{ |
|
"id": "level_6_api", |
|
"label": "API Development", |
|
"children": [ |
|
{ |
|
"id": "level_7_documentation", |
|
"label": "API Documentation" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
}, |
|
{ |
|
"id": "level_3_testing", |
|
"label": "Beta Testing", |
|
"children": [ |
|
{ |
|
"id": "level_4_validation", |
|
"label": "Model Validation", |
|
"children": [ |
|
{ |
|
"id": "level_5_performance", |
|
"label": "Performance Testing", |
|
"children": [ |
|
{ |
|
"id": "level_6_user_testing", |
|
"label": "User Acceptance Testing", |
|
"children": [ |
|
{ |
|
"id": "level_7_release", |
|
"label": "Release Preparation" |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
] |
|
} |
|
} |
|
""" |
|
|