NXP Backend: Update Readme files

Author: robert-kalmar

backends/nxp/README.md

@@ -15,8 +15,6 @@ networks, as well as the ability to adapt and scale to new model architectures,
 to AI workloads. ML application development with the eIQ Neutron NPU is fully supported by the 
 [eIQ machine learning software development environment](https://www.nxp.com/design/design-center/software/eiq-ml-development-environment/eiq-toolkit-for-end-to-end-model-development-and-deployment:EIQ-TOOLKIT).
 The eIQ AI SW Stack provides a streamlined development experience for developers and end-users of NXP products.
-eIQ extensions connect broader AI ecosystems to the edge, such as the NVIDIA TAO extension, which enables developers 
-to bring AI models trained and fine-tuned with TAO to NXP-powered edge devices.
 
 
 ## Supported NXP platforms

examples/nxp/README.md

@@ -4,11 +4,11 @@ format and delegate the model computation to eIQ Neutron NPU using the eIQ Neutr
 
 ## Layout
 * `experimental/` - contains CifarNet model example.
-* `models` - various example models.
+* `models` - demo models instantiation used in examples.
 * `aot_neutron_compile.py` - script with end-to-end ExecuTorch AoT Neutron Backend workflow.
 * `README.md` - this file.
-* `run_aot_example.sh` - utility script for aot_neutron_compile.py.
-* `setup.sh` - setup script for Neutron Converter installation.
+* `run_aot_example.sh` - utility script to launch _aot_neutron_compile.py_. Primarily for CI purpose. 
+* `setup.sh` - setup script to install Neutron Backend dependencies.
 
 ## Setup
 Please finish tutorial [Setting up ExecuTorch](https://pytorch.org/executorch/main/getting-started-setup).