[DOCS]

docs/zeta/index.md

@@ -22,9 +22,7 @@ After building out thousands of neural nets and facing the same annoying bottlen
 Zeta places a radical emphasis on useability, modularity, and performance. Zeta is now currently employed in 100s of models across my github and across others. 
 Get started below and LMK if you want my help building any model, I'm here for you 😊 💜 
 
-Here’s the refined module tree for the Zeta framework without the leftover commit messages:
-
-### Zeta Framework Module Tree:
+# Architecture
 
 ```bash
 zeta/
@@ -50,4 +48,4 @@ This structure provides several key benefits:
 - **Flexibility**: Zeta integrates seamlessly with PyTorch and CUDA, but offers a more structured and organized way to build models.
 - **Performance**: By building on CUDA, Zeta ensures efficient computation while maintaining ease of use through PyTorch's high-level abstractions.
 
-This tree structure reflects the framework’s intent to simplify complex deep learning operations while providing the flexibility to customize each layer and operation according to specific use cases.
+This tree structure reflects the framework’s intent to simplify complex deep learning operations while providing the flexibility to customize each layer and operation according to specific use cases.