Update config.json

config.json

@@ -1,22 +1,60 @@
 {
-  "model_name": "CSUMLM",
-  "description": "CognoSphere Unified Multimodal Language Model",
-  "version": "1.0",
-  "author": "Or4cl3 AI Solutions",
-  "framework": "TensorFlow",
-  "python_version": "3.x",
-  "deep_learning_framework": "TensorFlow",
-  "data_processing_framework": "Custom Pipelines",
-  "explainability_tools": "Integrated Visualization Tools",
-  "training_data": "Custom 1500 Example Dataset",
-  "training_steps": 100000,
-  "batch_size": 64,
-  "learning_rate": 0.0001,
-  "max_sequence_length": 512,
-  "num_layers": 12,
-  "num_heads": 12,
-  "hidden_size": 768,
-  "dropout_rate": 0.1,
-  "num_epochs": 10,
-  "base_model_type": "bert"
+  "data_dir": "/path/to/data",
+  "text_encoder": {
+    "model_path": "/path/to/text_encoder.h5",
+    "max_length": 512
+  },
+  "image_encoder": {
+    "model_path": "/path/to/image_encoder.h5",
+    "input_size": [224, 224, 3]
+  },
+  "audio_encoder": {
+    "model_path": "/path/to/audio_encoder.h5",
+    "sample_rate": 16000,
+    "duration": 5.0
+  },
+  "hybrid_model": {
+    "dense_units": [512, 256],
+    "dropout_rate": 0.2,
+    "output_units": 1,
+    "output_activation": "sigmoid"
+  },
+  "attention": {
+    "traditional_attention": {
+      "attention_type": "additive"
+    },
+    "self_attention": {
+      "num_heads": 8,
+      "key_dim": 64
+    },
+    "linear_attention": {
+      "num_heads": 4,
+      "key_dim": 32
+    }
+  },
+  "belief_desire_intent_tree": {
+    "max_depth": 5,
+    "node_units": 128
+  },
+  "training": {
+    "epochs": 10,
+    "batch_size": 32,
+    "learning_rate": 0.001
+  },
+  "realtime_learning": {
+    "update_interval": 100,
+    "update_batch_size": 16
+  },
+  "knowledge_base": {
+    "embedding_dim": 256,
+    "max_entities": 100000
+  },
+  "explainer": {
+    "explanation_type": "attention"
+  },
+  "iragel": {
+    "generation_length": 100,
+    "top_k": 5,
+    "top_p": 0.9
+  }
 }