[DOCS] New notebooks update for master (openvinotoolkit#24134)

Updating interactive tutorials and documentation. Applying new naming
convention for notebooks.

Author: sgolebiewski-intel

docs/articles_en/about-openvino/release-notes-openvino.rst

@@ -232,18 +232,18 @@ Jupyter Notebooks
 
 The following notebooks have been updated or newly added:
 
-* `Mobile language assistant with MobileVLM <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/279-mobilevlm-language-assistant>`__
-* `Depth estimation with DepthAnything <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/280-depth-anything>`__
-* `Kosmos-2 <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/281-kosmos2-multimodal-large-language-model>`__
-* `Zero-shot Image Classification with SigLIP <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/282-siglip-zero-shot-image-classification>`__
-* `Personalized image generation with PhotoMaker <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/283-photo-maker>`__
-* `Voice tone cloning with OpenVoice <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/284-openvoice>`__
-* `Line-level text detection with Surya <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/285-surya-line-level-text-detection>`__
-* `InstantID: Zero-shot Identity-Preserving Generation using OpenVINO <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/286-instant-id>`__
-* `Tutorial for Big Image Transfer  (BIT) model quantization using NNCF <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/127-big-transfer-quantization>`__
-* `Tutorial for OpenVINO Tokenizers integration into inference pipelines <https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/128-openvino-tokenizers>`__
-* `LLM chatbot <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/254-llm-chatbot/254-llm-chatbot.ipynb>`__ and
-  `LLM RAG pipeline <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/254-llm-chatbot/254-rag-chatbot.ipynb>`__
+* `Mobile language assistant with MobileVLM <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/mobilevlm-language-assistant>`__
+* `Depth estimation with DepthAnything <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/depth-anything>`__
+* `Kosmos-2 <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/kosmos2-multimodal-large-language-model>`__
+* `Zero-shot Image Classification with SigLIP <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/siglip-zero-shot-image-classification>`__
+* `Personalized image generation with PhotoMaker <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/photo-maker>`__
+* `Voice tone cloning with OpenVoice <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/openvoice>`__
+* `Line-level text detection with Surya <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/surya-line-level-text-detection>`__
+* `InstantID: Zero-shot Identity-Preserving Generation using OpenVINO <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/instant-id>`__
+* `Tutorial for Big Image Transfer  (BIT) model quantization using NNCF <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/big-transfer-quantization>`__
+* `Tutorial for OpenVINO Tokenizers integration into inference pipelines <https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/openvino-tokenizers>`__
+* `LLM chatbot <https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/llm-chatbot/llm-chatbot.ipynb>`__ and
+  `LLM RAG pipeline <https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/llm-chatbot/rag-chatbot.ipynb>`__
   have received integration with new models: minicpm-2b-dpo, gemma-7b-it, qwen1.5-7b-chat, baichuan2-7b-chat
 
 

docs/articles_en/documentation/legacy-features/install-dev-tools.rst

@@ -176,13 +176,13 @@ Get started with Python
 .. image:: ../../_static/images/get_started_with_python.gif
   :width: 400
 
-Try the `Python Quick Start Example <../../notebooks/201-vision-monodepth-with-output.html>`__ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
+Try the `Python Quick Start Example <../../notebooks/vision-monodepth-with-output.html>`__ to estimate depth in a scene using an OpenVINO monodepth model in a Jupyter Notebook inside your web browser.
 
 Visit the :doc:`Tutorials <../../learn-openvino/interactive-tutorials-python>` page for more Jupyter Notebooks to get you started with OpenVINO, such as:
 
-* `OpenVINO Python API Tutorial <../../notebooks/002-openvino-api-with-output.html>`__
-* `Basic image classification program with Hello Image Classification <../../notebooks/001-hello-world-with-output.html>`__
-* `Convert a PyTorch model and use it for image background removal <../../notebooks/205-vision-background-removal-with-output.html>`__
+* `OpenVINO Python API Tutorial <../../notebooks/openvino-api-with-output.html>`__
+* `Basic image classification program with Hello Image Classification <../../notebooks/hello-world-with-output.html>`__
+* `Convert a PyTorch model and use it for image background removal <../../notebooks/vision-background-removal-with-output.html>`__
 
 Get started with C++
 ++++++++++++++++++++