diff --git a/docs/MO_DG/prepare_model/MO_Python_API.md b/docs/MO_DG/prepare_model/MO_Python_API.md
index 769c0ccbaee..668a54ba998 100644
--- a/docs/MO_DG/prepare_model/MO_Python_API.md
+++ b/docs/MO_DG/prepare_model/MO_Python_API.md
@@ -4,8 +4,9 @@
 
 Model Optimizer (MO) has a Python API for model conversion, which is represented by the ``convert_model()`` method in the openvino.tools.mo namespace.
 
-  ``convert_model()`` has all the functionality available from the command-line tool, plus the ability to pass Python model objects, such as a Pytorch model or TensorFlow Keras model directly, without saving them into files and without leaving the training environment (Jupyter Notebook or training scripts). In addition to input models consumed directly from Python, ``convert_model`` can take OpenVINO extension objects constructed directly in Python for easier conversion of operations that are not supported in OpenVINO.
-  ``convert_model()`` returns an openvino.runtime.Model object which can be compiled and inferred or serialized to IR.
+``convert_model()`` has all the functionality available from the command-line tool, plus the ability to pass Python model objects, such as a Pytorch model or TensorFlow Keras model directly, without saving them into files and without leaving the training environment (Jupyter Notebook or training scripts). In addition to input models consumed directly from Python, ``convert_model`` can take OpenVINO extension objects constructed directly in Python for easier conversion of operations that are not supported in OpenVINO.
+
+``convert_model()`` returns an openvino.runtime.Model object which can be compiled and inferred or serialized to IR.
 
 Example of converting a PyTorch model directly from memory:
 
diff --git a/docs/OV_Runtime_UG/supported_plugins/CPU.md b/docs/OV_Runtime_UG/supported_plugins/CPU.md
index 14b569e3e42..ec690ce1bb7 100644
--- a/docs/OV_Runtime_UG/supported_plugins/CPU.md
+++ b/docs/OV_Runtime_UG/supported_plugins/CPU.md
@@ -108,8 +108,8 @@ to query ``ov::device::capabilities`` property, which should contain ``BF16`` in
 If the model has been converted to ``bf16``, the ``ov::hint::inference_precision`` is set to ``ov::element::bf16`` and can be checked via 
 the ``ov::CompiledModel::get_property`` call. The code below demonstrates how to get the element type:
 
-.. doxygensnippet:: snippets/cpu/Bfloat16Inference1.cpp
-   :language: py
+.. doxygensnippet:: docs/snippets/cpu/Bfloat16Inference1.cpp
+   :language: cpp
    :fragment: [part1]
 
 To infer the model in ``f32`` precision instead of ``bf16`` on targets with native ``bf16`` support, set the ``ov::hint::inference_precision`` to ``ov::element::f32``.