diff --git a/docs/install_guides/configurations-for-intel-gna.md b/docs/install_guides/configurations-for-intel-gna.md
index d26a967832e..21cc42e0ccc 100644
--- a/docs/install_guides/configurations-for-intel-gna.md
+++ b/docs/install_guides/configurations-for-intel-gna.md
@@ -2,34 +2,37 @@
 
 @sphinxdirective
 
-.. note:: On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.
+.. note::
 
-@endsphinxdirective
+   On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.
 
 
-## Drivers and Dependencies
+Drivers and Dependencies
+########################
 
-@sphinxdirective
 
 Intel® GNA hardware requires a driver to be installed on the system.
 
 .. _gna guide:
 
-@endsphinxdirective
+Linux
+####################
+
+Prerequisites
+++++++++++++++++++++
+
+Ensure that make, gcc, and Linux kernel headers are installed. Use the following command to install required software:
+
+.. code-block:: sh
+
+   sudo apt-get install gcc make linux-headers-generic
 
 
-## Linux
+Configuration steps
+++++++++++++++++++++
 
-### Prerequisites
-
-Ensure that make, gcc, and Linux kernel headers are installed.
-
-### Configuration steps
-
-@sphinxdirective
-
-#. Download `Intel® GNA driver for Ubuntu Linux 18.04.3 LTS (with HWE Kernel version 5.4+) <https://storage.openvinotoolkit.org/drivers/gna/>`__
-#. Run the sample_install.sh script provided in the installation package:
+1. Download `Intel® GNA driver for Ubuntu Linux 18.04.3 LTS (with HWE Kernel version 5.4+) <https://storage.openvinotoolkit.org/drivers/gna/>`__
+2. Run the sample_install.sh script provided in the installation package:
 
    .. code-block:: sh
 
@@ -54,28 +57,28 @@ To unload the driver:
 
 .. _gna guide windows:
 
-@endsphinxdirective
 
-
-## Windows
+Windows
+####################
 
 Intel® GNA driver for Windows is available through Windows Update.
 
-## What’s Next?
-
-@sphinxdirective
+What’s Next?
+####################
 
 Now you are ready to try out OpenVINO™. You can use the following tutorials to write your applications using Python and C++.
 
 Developing in Python:
-   * `Start with tensorflow models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/101-tensorflow-to-openvino-with-output.html>`_
-   * `Start with ONNX and PyTorch models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/102-pytorch-onnx-to-openvino-with-output.html>`_
-   * `Start with PaddlePaddle models with OpenVINO™ <https://docs.openvino.ai/nightly/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html>`_
+
+* `Start with tensorflow models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/101-tensorflow-to-openvino-with-output.html>`_
+* `Start with ONNX and PyTorch models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/102-pytorch-onnx-to-openvino-with-output.html>`_
+* `Start with PaddlePaddle models with OpenVINO™ <https://docs.openvino.ai/2022.3/notebooks/103-paddle-onnx-to-openvino-classification-with-output.html>`_
 
 Developing in C++:
-   * :doc:`Image Classification Async C++ Sample <openvino_inference_engine_samples_classification_sample_async_README>`
-   * :doc:`Hello Classification C++ Sample <openvino_inference_engine_samples_hello_classification_README>`
-   * :doc:`Hello Reshape SSD C++ Sample <openvino_inference_engine_samples_hello_reshape_ssd_README>`
+
+* :doc:`Image Classification Async C++ Sample <openvino_inference_engine_samples_classification_sample_async_README>`
+* :doc:`Hello Classification C++ Sample <openvino_inference_engine_samples_hello_classification_README>`
+* :doc:`Hello Reshape SSD C++ Sample <openvino_inference_engine_samples_hello_reshape_ssd_README>`
 
 @endsphinxdirective