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[Release_v2150] Update ReleaseNotes.md #3214

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# Release Notes

## New in Release 2.15.0

Post-training Quantization:

- Breaking changes:
- ...
- General:
- ...
- Features:
- ...
- Fixes:
- ...
- Improvements:
- Significantly faster data-free weight compression for OpenVINO models: INT4 compression is now up to 10x faster, while INT8 compression is up to 3x faster. The larger the model the higher the time reduction.
- AWQ weight compression is now up to 2x faster, improving overall runtime efficiency.
- Peak memory usage during INT4 data-free weight compression in the OpenVINO backend is reduced up to 50% for certain models.
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- Deprecations/Removals:
- ...
- Tutorials:
- [Post-Training Optimization of GLM-Edge-V Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/glm-edge-v/glm-edge-v.ipynb)
- [Post-Training Optimization of OmniGen Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/omnigen/omnigen.ipynb)
- [Post-Training Optimization of Sana Models](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/sana-image-generation/sana-image-generation.ipynb)
- [Post-Training Optimization of BGE Models](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/llm-rag-langchain/llm-rag-langchain-genai.ipynb)
- [Post-Training Optimization of Stable Diffusion Inpainting Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/inpainting-genai/inpainting-genai.ipynb)
- [Post-Training Optimization of LTX Video Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/ltx-video/ltx-video.ipynb)
- [Post-Training Optimization of DeepSeek-R1-Distill Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/llm-chatbot/llm-chatbot-generate-api.ipynb)
- [Post-Training Optimization of Janus DeepSeek-LLM-1.3b Model](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/janus-multimodal-generation/janus-multimodal-generation.ipynb)
- Known issues:
- ...

Compression-aware training:

- Breaking changes:
- ...
- General:
- ...
- Features:
- ...
- Fixes:
- ...
- Improvements:
- ...
- Deprecations/Removals:
- ...
- Tutorials:
- ...
- Known issues:
- ...

Deprecations/Removals:

- ...

Requirements:

- Update minimal versin for `numpy` (>=1.24.0).
- Added to requarements `safetensors` (>=0.4.1).
- Removed `tqdm`.

## New in Release 2.14.1

Post-training Quantization:
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