diff --git a/README.md b/README.md
index c21bb938..fd9db2ce 100644
--- a/README.md
+++ b/README.md
@@ -91,6 +91,8 @@ High-performance attention mechanisms for transformers, graph neural networks, a
 
 #### Core Attention Mechanisms
 
+Standard attention layers for sequence modeling and transformers.
+
 | Mechanism | Complexity | Memory | Best For |
 |-----------|------------|--------|----------|
 | **DotProductAttention** | O(n²) | O(n²) | Basic attention for small-medium sequences |
@@ -102,6 +104,8 @@ High-performance attention mechanisms for transformers, graph neural networks, a
 
 #### Graph Attention Mechanisms
 
+Attention layers designed for graph-structured data and GNNs.
+
 | Mechanism | Complexity | Best For |
 |-----------|------------|----------|
 | **GraphRoPeAttention** | O(n²) | Position-aware graph transformers |
@@ -111,6 +115,8 @@ High-performance attention mechanisms for transformers, graph neural networks, a
 
 #### Specialized Mechanisms
 
+Task-specific attention variants for efficiency and multi-modal learning.
+
 | Mechanism | Type | Best For |
 |-----------|------|----------|
 | **SparseAttention** | Efficiency | Long docs, low-memory inference |
@@ -120,7 +126,7 @@ High-performance attention mechanisms for transformers, graph neural networks, a
 
 #### Hyperbolic Math Functions
 
-Operations for Poincaré ball embeddings (curved space for hierarchies):
+Operations for Poincaré ball embeddings—curved space that naturally represents hierarchies.
 
 | Function | Description | Use Case |
 |----------|-------------|----------|
@@ -132,6 +138,8 @@ Operations for Poincaré ball embeddings (curved space for hierarchies):
 
 #### Async & Batch Operations
 
+Utilities for high-throughput inference and training optimization.
+
 | Operation | Description | Performance |
 |-----------|-------------|-------------|
 | `asyncBatchCompute()` | Process batches in parallel | 3-5x faster |