The 'Black Box' Problem in AI
Most developers are using LLM APIs daily, but very few can visualize what happens between the input token and the output probability. The problem? Most educational resources are either dry research papers or oversimplified analogies that lose the technical essence.
Seeing is Believing
To solve this, I've been working on Neural Viz Lab. The goal is simple: make the abstract concrete. By using interactive visualizations, you can see:
- How weights and biases interact.
- The flow of tensors through layers.
- The mechanics of the attention head.
Why Browser-Based?
Learning AI shouldn't require a CUDA-enabled GPU and a complex Python environment. By moving the visualization to the browser, we make the fundamental principles of neural networks accessible to everyone.
Stop struggling with abstract theory and start exploring the architecture visually: https://biz-neural-viz-lab-5c58e.pages.dev
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