Tutorials/manifest.json

{
  "title": "Nexuss AI Training Tutorials",
  "description": "End-to-end guide for AI model training from blank slate to production",
  "version": "1.0.0",
  "tutorials": [
    {
      "id": "00",
      "number": 0,
      "slug": "introduction-overview",
      "filename": "00-introduction-overview.md",
      "title": "Introduction & Overview",
      "category": "Core Training",
      "level": "Beginner",
      "description": "Framework overview, training lifecycle, and hardware requirements"
    },
    {
      "id": "01",
      "number": 1,
      "slug": "blank-slate-models",
      "filename": "01-blank-slate-models.md",
      "title": "Blank Slate Models",
      "category": "Core Training",
      "level": "Intermediate",
      "description": "Transformer architecture from scratch and model initialization"
    },
    {
      "id": "02",
      "number": 2,
      "slug": "first-training-run",
      "filename": "02-first-training-run.md",
      "title": "First Training Run",
      "category": "Core Training",
      "level": "Beginner",
      "description": "Complete pipeline setup, monitoring, and debugging"
    },
    {
      "id": "03",
      "number": 3,
      "slug": "full-finetuning",
      "filename": "03-full-finetuning.md",
      "title": "Full Fine-Tuning",
      "category": "Core Training",
      "level": "Intermediate",
      "description": "DeepSpeed ZeRO, multi-GPU training, and memory optimization"
    },
    {
      "id": "04",
      "number": 4,
      "slug": "advanced-finetuning",
      "filename": "04-advanced-finetuning.md",
      "title": "Advanced Fine-Tuning",
      "category": "Core Training",
      "level": "Advanced",
      "description": "Multi-task learning, DPO/SimPO, and instruction tuning"
    },
    {
      "id": "05",
      "number": 5,
      "slug": "peft-lora",
      "filename": "05-peft-lora.md",
      "title": "PEFT & LoRA",
      "category": "Core Training",
      "level": "Intermediate",
      "description": "Parameter-efficient methods, QLoRA, and adapter techniques"
    },
    {
      "id": "06",
      "number": 6,
      "slug": "rlhf",
      "filename": "06-rlhf.md",
      "title": "RLHF",
      "category": "Core Training",
      "level": "Advanced",
      "description": "Reward modeling, PPO, and preference optimization"
    },
    {
      "id": "07",
      "number": 7,
      "slug": "validation-testing",
      "filename": "07-validation-testing.md",
      "title": "Validation & Testing",
      "category": "Production & Lifecycle",
      "level": "Intermediate",
      "description": "Statistical validation, bias detection, and adversarial testing"
    },
    {
      "id": "08",
      "number": 8,
      "slug": "continual-learning-lifecycle",
      "filename": "08-continual-learning-lifecycle.md",
      "title": "Continual Learning & Lifecycle",
      "category": "Production & Lifecycle",
      "level": "Advanced",
      "description": "Forgetting prevention, deployment strategies, and drift detection"
    },
    {
      "id": "09",
      "number": 9,
      "slug": "release-management",
      "filename": "09-release-management.md",
      "title": "Release Management",
      "category": "Production & Lifecycle",
      "level": "Advanced",
      "description": "Version control, freezing, rollback, and deprecation"
    },
    {
      "id": "10",
      "number": 10,
      "slug": "distributed-training-scale",
      "filename": "10-distributed-training-scale.md",
      "title": "Distributed Training at Scale",
      "category": "Production & Lifecycle",
      "level": "Advanced",
      "description": "TP/PP/ZeRO, hybrid parallelism strategies"
    },
    {
      "id": "11",
      "number": 11,
      "slug": "inference-optimization-deployment",
      "filename": "11-inference-optimization-deployment.md",
      "title": "Inference Optimization & Deployment",
      "category": "Production & Lifecycle",
      "level": "Advanced",
      "description": "Quantization, vLLM, TGI, and speculative decoding"
    },
    {
      "id": "12",
      "number": 12,
      "slug": "mlops-automation-governance",
      "filename": "12-mlops-automation-governance.md",
      "title": "MLOps, Automation & Governance",
      "category": "Production & Lifecycle",
      "level": "Intermediate",
      "description": "CI/CD, registries, compliance, and monitoring"
    },
    {
      "id": "13",
      "number": 13,
      "slug": "troubleshooting-performance-debugging",
      "filename": "13-troubleshooting-performance-debugging.md",
      "title": "Troubleshooting & Performance Debugging",
      "category": "Production & Lifecycle",
      "level": "Intermediate",
      "description": "NaNs, OOMs, convergence issues, and profiling"
    }
  ],
  "categories": [
    "Core Training",
    "Production & Lifecycle"
  ],
  "levels": [
    "Beginner",
    "Intermediate",
    "Advanced"
  ]
}