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Visual animations representing the movement and transformation of data tensors through network layers.
Distinct from Tensor Transformations: Focuses on the visual animation of tensor movement rather than the mathematical operation of transformation.
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llm-viz is a 3D architecture visualizer and inference simulator for large language models. It provides a visual representation of network topology and the mathematical operations used during the process of generating a response. The tool enables the exploration of internal weight distributions and the layout of layers within a neural network. It facilitates model interpretability and inference debugging by tracking the step-by-step movement of data through the architecture. The system utilizes GPU-accelerated 3D rendering to visualize tensor flow and spatial mappings of weights. It includes
Visualizes the movement and transformation of data tensors as they pass through different model layers during inference.