Update links to notebooks in README (#2170)

### Changes

Add link to BLIP, DeepFloyd If and Grammatical Error Correction
notebooks

README.md

@@ -281,6 +281,9 @@ A collection of ready-to-run Jupyter* notebooks are available to demonstrate how
 - [NNCF Post-Training Optimization of CLIP Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/228-clip-zero-shot-image-classification)
 - [NNCF Post-Training Optimization of ImageBind Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/239-image-bind)
 - [NNCF Post-Training Optimization of Whisper Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/227-whisper-subtitles-generation)
+- [NNCF Post-Training Optimization of BLIP Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/233-blip-visual-language-processing)
+- [NNCF Post-Training Optimization of DeepFloyd IF Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/238-deepfloyd-if)
+- [NNCF Post-Training Optimization of Grammatical Error Correction Model](https://github.com/openvinotoolkit/openvino_notebooks/tree/main/notebooks/214-grammar-correction)
 - [Quantize a Segmentation Model and Show Live Inference](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/110-ct-segmentation-quantize)
 - [Training to Deployment with TensorFlow and OpenVINO](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/301-tensorflow-training-openvino)
 - [Migrate quantization from POT API to NNCF API](https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/111-yolov5-quantization-migration)