{
  "model": {
    "type": "liquid-generative-cognitive-recurrent-attentive-adversarial-progressive-neural-network",
    "num_layers": 360,
    "num_neurons_per_layer": 10000,
    "num_parameters": 1_200_000_000,
    "self_reflection_layer": true,
    "emotional_intelligence_layer": true,
    "reasoning_layer": true,
    "logic_layer": true,
    "self_attention_layer": true,
    "deep_learning": true,
    "transfer_learning": true,
    "deep_reinforcement_learning": true,
    "unsupervised_learning": true,
    "self_learning": true,
    "contextual_awareness": true,
    "self_cognition": true,
    "internet_access": true,
    "use_knowledge_distillation": true,
    "use_creativity_layer": true,
    "use_attention_pooling": true,
    "use_hierarchical_representation": true,
    "batch_size": 640
  },
  "training": {
    "dataset": "/path/to/dataset.json",
    "epochs": 2000,
  }
}