diff --git a/notebooks/hello-npu/hello-npu.ipynb b/notebooks/hello-npu/hello-npu.ipynb
index ed35d6ee9bf..03c79fa7c47 100644
--- a/notebooks/hello-npu/hello-npu.ipynb
+++ b/notebooks/hello-npu/hello-npu.ipynb
@@ -1188,33 +1188,46 @@
     "\n",
     "Discover the power of Neural Processing Unit (NPU) with OpenVINO through these interactive Jupyter notebooks: \n",
     "##### Introduction\n",
-    "- [**001-hello-world**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/001-hello-world): Start your OpenVINO journey by performing inference on an OpenVINO IR model.\n",
-    "- [**003-hello-segmentation**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/003-hello-segmentation): Dive into inference with a segmentation model and explore image segmentation capabilities.\n",
+    "- [**hello-world**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/hello-world): Start your OpenVINO journey by performing inference on an OpenVINO IR model.\n",
+    "- [**hello-segmentation**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/hello-segmentation): Dive into inference with a segmentation model and explore image segmentation capabilities.\n",
     "\n",
     "##### Model Optimization and Conversion\n",
-    "- [**104-model-tools**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/104-model-tools): Discover how to download, convert, and benchmark models from the Open Model Zoo.\n",
-    "- [**119-tflite-to-openvino**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/119-tflite-to-openvino): Learn the process of converting TensorFlow Lite models to OpenVINO IR format.\n",
-    "- [**226-yolov7-optimization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/226-yolov7-optimization): Optimize the YOLOv7 model for enhanced performance in OpenVINO.\n",
-    "- [**230-yolov8-optimization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/230-yolov8-optimization): Convert and optimize YOLOv8 models for efficient deployment with OpenVINO.\n",
+    "- [**104-model-tools**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/model-tools): Discover how to download, convert, and benchmark models from the Open Model Zoo.\n",
+    "- [**tflite-to-openvino**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/tflite-to-openvino): Learn the process of converting TensorFlow Lite models to OpenVINO IR format.\n",
+    "- [**yolov7-optimization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/yolov7-optimization): Optimize the YOLOv7 model for enhanced performance in OpenVINO.\n",
+    "- [**yolov8-optimization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/yolov8-optimization): Convert and optimize YOLOv8 models for efficient deployment with OpenVINO.\n",
     "\n",
     "##### Advanced Computer Vision Techniques\n",
-    "- [**205-vision-background-removal**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/205-vision-background-removal): Implement advanced image segmentation and background manipulation with U^2-Net.\n",
-    "- [**209-handwritten-ocr**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/209-handwritten-ocr): Apply optical character recognition to handwritten Chinese and Japanese text.\n",
-    "- [**215-image-inpainting**](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/215-image-inpainting): Explore the art of image in-painting and restore images with missing parts.\n",
-    "- [**218-vehicle-detection-and-recognition**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/218-vehicle-detection-and-recognition): Use pre-trained models for vehicle detection and recognition in images.\n",
-    "- [**222-vision-image-colorization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/222-vision-image-colorization): Bring black and white images to life by adding color with neural networks.\n",
+    "- [**vision-background-removal**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/vision-background-removal): Implement advanced image segmentation and background manipulation with U^2-Net.\n",
+    "- [**handwritten-ocr**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/handwritten-ocr): Apply optical character recognition to handwritten Chinese and Japanese text.\n",
+    "- [**image-inpainting**](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/image-inpainting): Explore the art of image in-painting and restore images with missing parts.\n",
+    "- [**vehicle-detection-and-recognition**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/vehicle-detection-and-recognition): Use pre-trained models for vehicle detection and recognition in images.\n",
+    "- [**vision-image-colorization**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/vision-image-colorization): Bring black and white images to life by adding color with neural networks.\n",
     "\n",
     "##### Real-Time Webcam Applications\n",
-    "- [**243-tflite-selfie-segmentation**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/243-tflite-selfie-segmentation): Apply TensorFlow Lite models for selfie segmentation and background processing.\n",
-    "- [**401-object-detection-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/401-object-detection-webcam): Experience real-time object detection using your webcam and OpenVINO.\n",
-    "- [**402-pose-estimation-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/402-pose-estimation-webcam): Perform human pose estimation in real-time with webcam integration.\n",
-    "- [**403-action-recognition-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/403-action-recognition-webcam): Recognize and classify human actions live with your webcam.\n",
-    "- [**404-style-transfer-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/404-style-transfer-webcam): Transform your webcam feed with artistic styles in real-time using pre-trained models.\n",
-    "- [**406-3D-pose-estimation-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/406-3D-pose-estimation-webcam): Perform 3D multi-person pose estimation with OpenVINO.\n"
+    "- [**tflite-selfie-segmentation**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/tflite-selfie-segmentation): Apply TensorFlow Lite models for selfie segmentation and background processing.\n",
+    "- [**object-detection-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/object-detection-webcam): Experience real-time object detection using your webcam and OpenVINO.\n",
+    "- [**pose-estimation-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/pose-estimation-webcam): Perform human pose estimation in real-time with webcam integration.\n",
+    "- [**action-recognition-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/action-recognition-webcam): Recognize and classify human actions live with your webcam.\n",
+    "- [**style-transfer-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/style-transfer-webcam): Transform your webcam feed with artistic styles in real-time using pre-trained models.\n",
+    "- [**3D-pose-estimation-webcam**](https://github.com/openvinotoolkit/openvino_notebooks/tree/latest/notebooks/pose-estimation-webcam): Perform 3D multi-person pose estimation with OpenVINO.\n"
    ]
   }
  ],
  "metadata": {
+   "openvino_notebooks": {
+   "imageUrl": "",
+   "tags": {
+    "categories": [
+     "API Overview"
+    ],
+    "libraries": [],
+    "other": [],
+    "tasks": [
+     "Image Classification"
+    ]
+   }
+  },
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",