Update index.rst

docs/index.rst

@@ -9,7 +9,7 @@ Documentation
 .. admonition:: Highlights
 
    - Write differentiable code with Tensors based on NumPy arrays
-   - Designed to operate on input arrays with (elementwise-operating) trailing axes
+   - Efficient evaluation of batches by elementwise-operating trailing axes
    - Essential vector/tensor Hyper-Dual number math, including limited support for ``einsum`` (restricted to max. three operands)
    - Math is limited but similar to NumPy, try to use ``import tensortrax.math as tm`` instead of ``import numpy as np`` inside functions to be differentiated
    - Forward Mode Automatic Differentiation (AD) using Hyper-Dual Tensors, up to second order derivatives