[DOCS] update prereleasenotes (#18946)
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@ -23,13 +23,71 @@ Please file a github Issue on these with the label “pre-release” so we can g
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* Subject to change in the future.
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* Introduced to allow early testing and get early feedback from the community.
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.. button-link:: https://github.com/openvinotoolkit/openvino/issues/new?assignees=octocat&labels=Pre-release%2Csupport_request&projects=&template=pre_release_feedback.yml&title=%5BPre-Release+Feedback%5D%3A
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:color: primary
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:outline:
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:material-regular:`feedback;1.4em` Share your feedback
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.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230623
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.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230728
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:open:
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:animate: fade-in-slide-down
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:color: primary
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`Check on GitHub <https://github.com/openvinotoolkit/openvino/releases/tag/2023.1.0.dev20230728>`__
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**New features:**
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* Common:
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- Proxy & hetero plugins have been migrated to API 2.0, providing enhanced compatibility and stability.
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- Symbolic shape inference preview is now available, leading to improved performance for Large Language models (LLMs).
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* CPU Plugin: Memory efficiency for output data between CPU plugin and the inference request has been significantly improved,
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resulting in better performance for LLMs.
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* GPU Plugin:
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- Enabled support for dynamic shapes in more models, leading to improved performance.
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- Introduced the 'if' and DetectionOutput operator to enhance model capabilities.
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- Various performance improvements for StableDiffusion, SegmentAnything, U-Net, and Large Language models.
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- Optimized dGPU performance through the integration of oneDNN 3.2 and fusion optimizations for MVN, Crop+Concat, permute, etc.
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* GNA Runtime: Addressed stability issues on the Gemini Lake platform related to GNA device plugin creation (ref: #115949).
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* Frameworks:
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- PyTorch Updates: OpenVINO now supports originally quantized PyTorch models, including models produced with the Neural Network Compression Framework (NNCF).
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- TensorFlow FE: Now supports Switch/Merge operations, bringing TensorFlow 1.x control flow support closer to full compatibility and enabling more models.
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- Python API: Python Conversion API is now the primary conversion path, making it easier for Python developers to work with OpenVINO.
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* NNCF: Enabled SmoothQuant method for Post-training Quantization, offering more techniques for quantizing models.
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**Distribution:**
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* Added conda-forge pre-release channel, simplifying OpenVINO pre-release installation with "conda install -c "conda-forge/label/openvino_dev" openvino" command.
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* Python API is now distributed as a part of conda-forge distribution, allowing users to access it using the command above.
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* Runtime can now be installed and used via vcpkg C++ package manager, providing more flexibility in integrating OpenVINO into projects.
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**New models:**
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* Enabled Large Language models such as open-llama, bloom, dolly-v2, GPT-J, llama-2, and more. We encourage users to try running their custom LLMs and share their feedback with us!
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* Optimized performance for Stable Diffusion v2.1 (FP16 and INT8 for GPU) and Clip (CPU, INT8) models, improving their overall efficiency and accuracy.
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**New openvino_notebooks:**
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* `242-freevc-voice-conversion <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/242-freevc-voice-conversion>`__ - High-Quality Text-Free One-Shot Voice Conversion with FreeVC
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* `241-riffusion-text-to-music <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/241-riffusion-text-to-music>`__ - Text-to-Music generation using Riffusion
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* `220-books-alignment-labse <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/220-cross-lingual-books-alignment>`__ - Cross-lingual Books Alignment With Transformers
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* `243-tflite-selfie-segmentation <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/notebooks/243-tflite-selfie-segmentation>`__ - Selfie Segmentation using TFLite
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.. dropdown:: OpenVINO Toolkit 2023.1.0.dev20230623
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:animate: fade-in-slide-down
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:color: secondary
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The first pre-release for OpenVINO 2023.1, focused on fixing bugs and performance issues.
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`Check on GitHub <https://github.com/openvinotoolkit/openvino/releases/tag/2023.1.0.dev20230623>`__
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