| # UANN Model | |
| ## Model Description | |
| This is the Universal Adaptive Neural Network (UANN) designed for multi-modal AI agents. The model incorporates a Mixture of Experts (MoE) architecture. | |
| ## Usage | |
| ```python | |
| import torch | |
| from models.moe_model import MoEModel | |
| # Initialize model | |
| model = MoEModel(input_dim=512, num_experts=3) | |
| # Dummy inputs for testing | |
| vision_input = torch.randn(1, 3, 32, 32) | |
| audio_input = torch.randn(1, 100, 40) | |
| sensor_input = torch.randn(1, 10) | |
| # Forward pass | |
| output = model(vision_input, audio_input, sensor_input) | |
| print(output) | |