| CONCEPT_MAP_JSON = """ |
| { |
| "central_node": "Artificial Intelligence (AI)", |
| "nodes": [ |
| { |
| "id": "ml_fundamental", |
| "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", |
| "relationship": "example" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "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", |
| "relationship": "provoked by", |
| "subnodes": [ |
| { |
| "id": "narrow_tasks", |
| "label": "Narrow Tasks", |
| "relationship": "of" |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ai_capabilities", |
| "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", |
| "label": "Prediction", |
| "relationship": "example" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "decision_making", |
| "label": "Decision Making", |
| "relationship": "can be", |
| "subnodes": [ |
| { |
| "id": "automation", |
| "label": "Automation", |
| "relationship": "as", |
| "subnodes": [ |
| { |
| "id": "robotics_example", |
| "label": "Robotics", |
| "relationship": "Example"}, |
| { |
| "id": "autonomous_example", |
| "label": "Autonomous Vehicles", |
| "relationship": "of one" |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "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" |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| """ |
|
|
| |
| SYNOPTIC_CHART_JSON = """ |
| { |
| "central_node": "AI Project Lifecycle", |
| "nodes": [ |
| { |
| "id": "phase1", |
| "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"} |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| """ |
|
|
| |
| 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 Model Deployment Project", |
| "phases": [ |
| { |
| "id": "phase_1_initiation", |
| "label": "1. Project Initiation", |
| "tasks": [ |
| { |
| "id": "task_1_1_goal_scope", |
| "label": "1.1. Define Goal & Scope", |
| "subtasks": [ |
| { |
| "id": "subtask_1_1_1_problem_def", |
| "label": "1.1.1. Problem Definition", |
| "sub_subtasks": [ |
| { |
| "id": "ss_task_1_1_1_1_req_analysis", |
| "label": "1.1.1.1. Requirements Analysis", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_1_1_1_1_user_stories", |
| "label": "1.1.1.1.1. User Stories", |
| "final_level_tasks": [ |
| {"id": "ft_1_1_1_1_1_1_interview_users", "label": "1.1.1.1.1.1. Interview Users"}, |
| {"id": "ft_1_1_1_1_1_2_document_needs", "label": "1.1.1.1.1.2. Document Needs"}, |
| {"id": "ft_1_1_1_1_1_3_validate_scope", "label": "1.1.1.1.1.3. Validate Scope"} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_1_1_2_data_id", |
| "label": "1.1.1.2. Data Identification", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_1_1_2_1_source_mapping", |
| "label": "1.1.1.2.1. Source Mapping", |
| "final_level_tasks": [ |
| {"id": "ft_1_1_1_2_1_1_list_databases", "label": "1.1.1.2.1.1. List Databases"}, |
| {"id": "ft_1_1_1_2_1_2_api_integration", "label": "1.1.1.2.1.2. API Integration"}, |
| {"id": "ft_1_1_1_2_1_3_external_feeds", "label": "1.1.1.2.1.3. External Feeds"} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_1_1_3_ml_approach", |
| "label": "1.1.1.3. ML Approach Selection", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_1_1_3_1_algo_research", |
| "label": "1.1.1.3.1. Algorithm Research", |
| "final_level_tasks": [ |
| {"id": "ft_1_1_1_3_1_1_supervised_review", "label": "1.1.1.3.1.1. Supervised Review"}, |
| {"id": "ft_1_1_1_3_1_2_unsupervised_review", "label": "1.1.1.3.1.2. Unsupervised Review"}, |
| {"id": "ft_1_1_1_3_1_3_rl_consideration", "label": "1.1.1.3.1.3. RL Consideration"} |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "task_1_2_resource_plan", |
| "label": "1.2. Resource Planning", |
| "subtasks": [ |
| { |
| "id": "subtask_1_2_1_team_assembly", |
| "label": "1.2.1. Team Assembly", |
| "sub_subtasks": [ |
| { |
| "id": "ss_task_1_2_1_1_data_scientists", |
| "label": "1.2.1.1. Data Scientists", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_2_1_1_1_identify_leads", |
| "label": "1.2.1.1.1. Identify Leads", |
| "final_level_tasks": [ |
| {"id": "ft_1_2_1_1_1_1_hire_ml_engineers", "label": "1.2.1.1.1.1. Hire ML Engineers"}, |
| {"id": "ft_1_2_1_1_1_2_allocate_researchers", "label": "1.2.1.1.1.2. Allocate Researchers"}, |
| {"id": "ft_1_2_1_1_1_3_assign_roles", "label": "1.2.1.1.1.3. Assign Roles"} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_2_1_2_engineers", |
| "label": "1.2.1.2. Software Engineers", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_2_1_2_1_backend_devs", |
| "label": "1.2.1.2.1. Backend Devs", |
| "final_level_tasks": [ |
| {"id": "ft_1_2_1_2_1_1_recruit_py", "label": "1.2.1.2.1.1. Recruit Python"}, |
| {"id": "ft_1_2_1_2_1_2_recruit_java", "label": "1.2.1.2.1.2. Recruit Java"}, |
| {"id": "ft_1_2_1_2_1_3_onboard_team", "label": "1.2.1.2.1.3. Onboard Team"} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_2_1_3_domain_experts", |
| "label": "1.2.1.3. Domain Experts", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_2_1_3_1_consultants", |
| "label": "1.2.1.3.1. Consultants", |
| "final_level_tasks": [ |
| {"id": "ft_1_2_1_3_1_1_engage_smes", "label": "1.2.1.3.1.1. Engage SMEs"}, |
| {"id": "ft_1_2_1_3_1_2_define_ksas", "label": "1.2.1.3.1.2. Define KSAs"}, |
| {"id": "ft_1_2_1_3_1_3_establish_collab", "label": "1.2.1.3.1.3. Establish Collab."} |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "task_1_3_budget_timeline", |
| "label": "1.3. Budget & Timeline", |
| "subtasks": [ |
| { |
| "id": "subtask_1_3_1_cost_estim", |
| "label": "1.3.1. Cost Estimation", |
| "sub_subtasks": [ |
| { |
| "id": "ss_task_1_3_1_1_hardware_costs", |
| "label": "1.3.1.1. Hardware Costs", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_3_1_1_1_gpu_procurement", |
| "label": "1.3.1.1.1. GPU Procurement", |
| "final_level_tasks": [ |
| {"id": "ft_1_3_1_1_1_1_server_purchase", "label": "1.3.1.1.1.1. Server Purchase"}, |
| {"id": "ft_1_3_1_1_1_2_cloud_compute", "label": "1.3.1.1.1.2. Cloud Compute"}, |
| {"id": "ft_1_3_1_1_1_3_network_equip", "label": "1.3.1.1.1.3. Network Equip."} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_3_1_2_software_costs", |
| "label": "1.3.1.2. Software Costs", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_3_1_2_1_licensing", |
| "label": "1.3.1.2.1. Licensing", |
| "final_level_tasks": [ |
| {"id": "ft_1_3_1_2_1_1_os_licenses", "label": "1.3.1.2.1.1. OS Licenses"}, |
| {"id": "ft_1_3_1_2_1_2_tool_subscriptions", "label": "1.3.1.2.1.2. Tool Subscriptions"}, |
| {"id": "ft_1_3_1_2_1_3_framework_fees", "label": "1.3.1.2.1.3. Framework Fees"} |
| ] |
| } |
| ] |
| }, |
| { |
| "id": "ss_task_1_3_1_3_personnel_costs", |
| "label": "1.3.1.3. Personnel Costs", |
| "sub_sub_subtasks": [ |
| { |
| "id": "sss_task_1_3_1_3_1_salaries", |
| "label": "1.3.1.3.1. Salaries", |
| "final_level_tasks": [ |
| {"id": "ft_1_3_1_3_1_1_engineer_salaries", "label": "1.3.1.3.1.1. Engineer Salaries"}, |
| {"id": "ft_1_3_1_3_1_2_consultant_fees", "label": "1.3.1.3.1.2. Consultant Fees"}, |
| {"id": "ft_1_3_1_3_1_3_training_budget", "label": "1.3.1.3.1.3. Training Budget"} |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| ] |
| } |
| """ |
|
|
