Add Phase 64 wiki pages: Temporal Sequence Modeling & Time Series Intelligence (372 pages total)
- Phase-64-Temporal-Feature-Extractor.md (64.1)
- Phase-64-Sequence-Forecaster.md (64.2)
- Phase-64-Anomaly-Detector.md (64.3)
- Phase-64-Time-Series-Classifier.md (64.4)
- Phase-64-Temporal-Intelligence-Orchestrator.md (64.5)
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Phase 63: 3D Vision & Neural Scene Representations — PointCloudProcessor, DepthEstimator, NeuralRadianceField, GaussianSplatRenderer, SceneReconstructionOrchestrator (367 pages)
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Phase 62 — Speech & Audio Intelligence: 5 wiki pages (AudioFeatureExtractor, SpeechRecognizer, SpeakerAnalyzer, AudioSynthesizer, AudioIntelligenceOrchestrator) — 362 pages total
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Phase 61: Data-Centric AI & Dataset Engineering — 5 wiki pages (357 total)
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Phase 60: Efficient Inference & Model Serving Optimization — 5 wiki pages (352 total)
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Phase 59: Parameter-Efficient Fine-Tuning & Adaptation (PEFT) — 5 wiki pages (347 total)
- Phase-59-LoRA-Engine.md (59.1): LoRA, DoRA, AdaLoRA, LoRA+, multi-LoRA merging
- Phase-59-Adapter-Manager.md (59.2): Bottleneck/parallel adapters, AdapterFusion, MAD-X
- Phase-59-Prompt-Tuner.md (59.3): Soft prompt tuning, prefix tuning, P-Tuning v2
- Phase-59-Quantized-Fine-Tuner.md (59.4): QLoRA NF4, GPTQ, AWQ, mixed-precision
- Phase-59-PEFT-Orchestrator.md (59.5): Unified pipeline, method selection, serving
- Updated _Sidebar.md with Phase 59 section
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Phase 58: Diffusion Models & Score-Based Generative AI — 5 wiki pages + sidebar
- Phase-58-Noise-Scheduler.md: forward diffusion, variance schedules, SNR, continuous-time
- Phase-58-Score-Estimator.md: UNet/DiT architectures, parameterizations, EDM preconditioning
- Phase-58-Sampling-Engine.md: DDPM/DDIM/DPM-Solver, CFG, dynamic thresholding
- Phase-58-Latent-Diffusion-Encoder.md: VAE, CLIP/T5 conditioning, ControlNet, IP-Adapter
- Phase-58-Diffusion-Orchestrator.md: pipelines, flow matching, fine-tuning, optimization
- _Sidebar.md: added Phase 58 section (342 total wiki pages)
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Phase 57: Mixture of Experts & Sparse Model Architectures — 5 wiki pages (337 total)
- Phase-57-Expert-Router.md: top-k gating, Switch routing, expert choice, hash routing, capacity management
- Phase-57-Sparse-Expert-Layer.md: conditional computation, expert parallelism, SwiGLU/GEGLU experts
- Phase-57-Load-Balancer.md: auxiliary losses, dead expert revival, Sinkhorn balancing
- Phase-57-Expert-Merger.md: expert pruning, spectral merging, MoE-to-dense distillation
- Phase-57-MoE-Orchestrator.md: end-to-end pipeline, scaling laws, inference optimization
- _Sidebar.md: added Phase 57 section
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Phase 56: Interpretability & Explainable AI (XAI) — 5 wiki pages (332 total)
- Phase-56-Feature-Attributor.md: LIME, SHAP, Integrated Gradients, Grad-CAM
- Phase-56-Concept-Explainer.md: TCAV, Concept Bottleneck, ACE, Network Dissection
- Phase-56-Attention-Visualizer.md: Attention rollout, activation patching, circuits, SAEs
- Phase-56-Counterfactual-Generator.md: Wachter CFs, DiCE, algorithmic recourse
- Phase-56-Interpretability-Orchestrator.md: Unified XAI pipeline, adaptive explanations
- Updated _Sidebar.md with Phase 56 section
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Phase 55: AI Safety & Alignment Architectures — 5 wiki pages (RewardModeler, ValueAligner, SafetyMonitor, PreferenceOptimizer, AlignmentOrchestrator) + sidebar update — 327 wiki pages total
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Phase 54: World Models & Predictive Simulation — 5 wiki pages (322 total)
- Phase-54-Environment-Encoder.md: VAE/VQ-VAE/JEPA latent space construction
- Phase-54-Dynamics-Predictor.md: RSSM & Transformer forward models
- Phase-54-Reward-Estimator.md: Symlog two-hot reward prediction & GAE
- Phase-54-Imagination-Engine.md: Dream-based planning & MCTS
- Phase-54-World-Model-Orchestrator.md: End-to-end Dyna-style training
- Updated _Sidebar.md with Phase 54 section
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Phase 53 — Autonomous Agents & Tool-Using AI: 5 wiki pages (ToolRegistry, PlanningEngine, ActionExecutor, ReflectionModule, AutonomousAgentOrchestrator) + sidebar update — 317 wiki pages total
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Phase 52 — Retrieval-Augmented Generation & Grounded AI (5 wiki pages + sidebar)
- Phase-52-Document-Indexer.md (52.1): chunking, embeddings, vector stores, hybrid indexing
- Phase-52-Retrieval-Engine.md (52.2): DPR, ColBERT, re-ranking, query expansion
- Phase-52-Context-Grounder.md (52.3): citation tracking, faithfulness verification
- Phase-52-Adaptive-Retriever.md (52.4): Self-RAG adaptive retrieval, critique tokens
- Phase-52-RAG-Orchestrator.md (52.5): end-to-end pipeline, evaluation, scaling
- Updated _Sidebar.md with Phase 52 section
Total wiki pages: 312
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Phase 51: Multi-Modal Foundation Models & Cross-Modal Reasoning — 5 wiki pages (307 total)
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Phase 50: Meta-Learning & Learning-to-Learn Architectures — 5 wiki pages (302 total)
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Phase 49: Program Synthesis & Automated Code Generation — 5 wiki pages (297 total)
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Phase 48: Continual Learning & Catastrophic Forgetting Prevention — 5 wiki pages (292 total)
- Phase-48-Elastic-Weight-Consolidator.md (EWC, SI, MAS, Online EWC)
- Phase-48-Progressive-Network-Expander.md (Progressive Nets, PackNet, DEN)
- Phase-48-Experience-Replay-Buffer.md (GEM, A-GEM, iCaRL, Dark Replay)
- Phase-48-Task-Detector.md (ADWIN, MMD, Bayesian changepoint, DDM)
- Phase-48-Continual-Learning-Orchestrator.md (unified CL pipeline)
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Phase 47: Symbolic AI & Neurosymbolic Integration — 5 wiki pages (287 total)
- Phase-47-Logic-Engine.md (47.1 FOL, unification, resolution)
- Phase-47-Theorem-Prover.md (47.2 SAT/SMT, proof search)
- Phase-47-Symbolic-Reasoner.md (47.3 Rete, DL, OWL/RDF)
- Phase-47-Neural-Symbolic-Bridge.md (47.4 DeepProbLog, LTN, NS-CL)
- Phase-47-Neurosymbolic-Orchestrator.md (47.5 hybrid pipeline)
- Updated _Sidebar.md with Phase 47 section
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Phase 46 Self-Supervised Learning & Contrastive Representations — 5 wiki pages + sidebar
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Phase 45: Knowledge Distillation & Model Compression — 5 wiki pages (277 total)
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Phases 37-43: Updated wiki pages with enhanced architecture diagrams, API references, and citations
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Phase 44: Graph Neural Networks & Relational Reasoning — 5 wiki pages + sidebar (272 total)
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Phase 43: AutoML & Neural Architecture Search — 5 wiki pages (267 total)
- Phase-43-Search-Space-Designer.md (43.1)
- Phase-43-NAS-Controller.md (43.2)
- Phase-43-Hyperparameter-Tuner.md (43.3)
- Phase-43-Pipeline-Assembler.md (43.4)
- Phase-43-AutoML-Orchestrator.md (43.5)
- Updated _Sidebar.md with Phase 43 section
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Phase 42: Distributed Systems & Fault-Tolerant AI Infrastructure — 5 wiki pages + sidebar
- Phase-42-Consensus-Engine.md (42.1): Raft/Paxos/PBFT consensus, model agreement
- Phase-42-Shard-Manager.md (42.2): Data/model sharding, ZeRO, 3D parallelism
- Phase-42-Fault-Detector.md (42.3): φ-accrual failure detection, gossip, root cause
- Phase-42-Checkpoint-Manager.md (42.4): Chandy-Lamport snapshots, WAL, recovery
- Phase-42-Infrastructure-Orchestrator.md (42.5): Borg scheduling, auto-scaling, service mesh
- Updated _Sidebar.md with Phase 42 section
Total wiki pages: 262
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Phase 41: Adversarial Robustness & Security Intelligence — 5 wiki pages (257 total)
- Phase-41-Adversarial-Attack-Simulator.md (FGSM, PGD, C&W, AutoAttack)
- Phase-41-Robustness-Verifier.md (Randomized smoothing, IBP, CROWN)
- Phase-41-Adversarial-Trainer.md (PGD-AT, TRADES, AWP)
- Phase-41-Input-Sanitizer.md (Feature squeezing, denoising)
- Phase-41-Security-Orchestrator.md (Red/Blue/Purple team orchestration)
- Updated _Sidebar.md with Phase 41 section
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Phase 40: Causal Reasoning & Interventional Intelligence — 5 wiki pages (252 total)
- Phase-40-Causal-Graph-Builder.md: PC/FCI/GES discovery, SCM construction
- Phase-40-Intervention-Engine.md: do-calculus, backdoor/frontdoor adjustment
- Phase-40-Counterfactual-Reasoner.md: Twin networks, counterfactual fairness
- Phase-40-Causal-Inference-Optimizer.md: DML, IPW, matching, synthetic controls
- Phase-40-Causal-Orchestrator.md: Unified pipeline, model registry, XAI integration
- Sidebar: Phase 40 section with all 5 sub-phases
References: Pearl (2009), Peters et al. (2017), Spirtes et al. (2000),
Chernozhukov et al. (2018), Kusner et al. (2017), Schölkopf et al. (2021)
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Phase 39 — Explainable AI & Interpretability: 5 wiki pages + sidebar (247 total)
- Phase-39-Feature-Attributor.md: SHAP, LIME, Integrated Gradients, DeepLIFT
- Phase-39-Concept-Explainer.md: TCAV, Concept Bottleneck, Prototypes
- Phase-39-Counterfactual-Generator.md: DiCE, Wachter, Actionable Recourse
- Phase-39-Attention-Visualizer.md: Rollout, GradCAM, LRP, BertViz
- Phase-39-Explainability-Orchestrator.md: Unified XAI Pipeline, Fidelity
- Updated _Sidebar.md with Phase 39 section
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Phase 38 — Federated Learning & Privacy-Preserving AI: 5 wiki pages + sidebar (242 total)
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Phase 37 — Swarm Intelligence & Bio-Inspired Optimization: 5 wiki pages + sidebar (237 total)
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Phase 36 — Evolutionary & Neuroevolution Algorithms: 5 wiki pages + sidebar (232 total)
- Phase-36-Genetic-Operator.md (36.1: selection, crossover, mutation, elitism)
- Phase-36-Fitness-Evaluator.md (36.2: NSGA-II, MOEA/D, novelty search)
- Phase-36-Neuroevolution-Engine.md (36.3: NEAT, HyperNEAT, ES)
- Phase-36-Population-Manager.md (36.4: speciation, island model, diversity)
- Phase-36-Evolutionary-Orchestrator.md (36.5: unified pipeline, convergence)
- _Sidebar.md updated with Phase 36 section
References: Holland (1975), Goldberg (1989), Deb et al. (2002), Stanley & Miikkulainen (2002), Stanley et al. (2009), Lehman & Stanley (2011), Such et al. (2017), Salimans et al. (2017), Real et al. (2019), Eiben & Smith (2015)
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