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Feature(LLMLingua-2): update LLMLingua-2 information

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@@ -26,12 +26,13 @@ We also has a work to compress long context scenories, using less cost but even
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  ## News
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  - πŸ‘Ύ LLMLingua has been integrated into [LangChain](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/retrievers/llmlingua.ipynb) and [LlamaIndex](https://github.com/run-llama/llama_index/blob/main/docs/examples/node_postprocessor/LongLLMLingua.ipynb), two widely-used RAG frameworks.
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  - 🀳 Talk slides are available in [AI Time Jan, 24](https://drive.google.com/file/d/1fzK3wOvy2boF7XzaYuq2bQ3jFeP1WMk3/view?usp=sharing).
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  - πŸ–₯ EMNLP'23 slides are available in [Session 5](https://drive.google.com/file/d/1GxQLAEN8bBB2yiEdQdW4UKoJzZc0es9t/view) and [BoF-6](https://drive.google.com/file/d/1LJBUfJrKxbpdkwo13SgPOqugk-UjLVIF/view).
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  - πŸ“š Check out our new [blog post](https://medium.com/@iofu728/longllmlingua-bye-bye-to-middle-loss-and-save-on-your-rag-costs-via-prompt-compression-54b559b9ddf7) discussing RAG benefits and cost savings through prompt compression. See the script example [here](https://github.com/microsoft/LLMLingua/blob/main/examples/Retrieval.ipynb).
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  - 🎈 Visit our [project page](https://llmlingua.com/) for real-world case studies in RAG, Online Meetings, CoT, and Code.
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- - πŸ‘¨β€πŸ¦― Explore our ['./examples'](https://github.com/microsoft/LLMLingua/blob/main/examples) directory for practical applications, including [RAG](https://github.com/microsoft/LLMLingua/blob/main/examples/RAG.ipynb), [Online Meeting](https://github.com/microsoft/LLMLingua/blob/main/examples/OnlineMeeting.ipynb), [CoT](https://github.com/microsoft/LLMLingua/blob/main/examples/CoT.ipynb), [Code](https://github.com/microsoft/LLMLingua/blob/main/examples/Code.ipynb), and [RAG using LlamaIndex](https://github.com/microsoft/LLMLingua/blob/main/examples/RAGLlamaIndex.ipynb).
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  """
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  INTRO_EXAMPLES = '''
 
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  ## News
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+ - 🦚 We're excited to announce the release of **LLMLingua-2**, boasting a 3x-6x speed improvement over LLMLingua! For more information, check out our [paper](https://arxiv.org/abs/2403.12968), visit the [project page](https://llmlingua.com/llmlingua2.html), and explore our [demo](https://huggingface.co/spaces/microsoft/LLMLingua-2).
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  - πŸ‘Ύ LLMLingua has been integrated into [LangChain](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/retrievers/llmlingua.ipynb) and [LlamaIndex](https://github.com/run-llama/llama_index/blob/main/docs/examples/node_postprocessor/LongLLMLingua.ipynb), two widely-used RAG frameworks.
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  - 🀳 Talk slides are available in [AI Time Jan, 24](https://drive.google.com/file/d/1fzK3wOvy2boF7XzaYuq2bQ3jFeP1WMk3/view?usp=sharing).
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  - πŸ–₯ EMNLP'23 slides are available in [Session 5](https://drive.google.com/file/d/1GxQLAEN8bBB2yiEdQdW4UKoJzZc0es9t/view) and [BoF-6](https://drive.google.com/file/d/1LJBUfJrKxbpdkwo13SgPOqugk-UjLVIF/view).
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  - πŸ“š Check out our new [blog post](https://medium.com/@iofu728/longllmlingua-bye-bye-to-middle-loss-and-save-on-your-rag-costs-via-prompt-compression-54b559b9ddf7) discussing RAG benefits and cost savings through prompt compression. See the script example [here](https://github.com/microsoft/LLMLingua/blob/main/examples/Retrieval.ipynb).
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  - 🎈 Visit our [project page](https://llmlingua.com/) for real-world case studies in RAG, Online Meetings, CoT, and Code.
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+ - πŸ‘¨β€πŸ¦― Explore our ['./examples'](https://github.com/microsoft/LLMLingua/blob/main/examples/examples) directory for practical applications, including [LLMLingua-2](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/LLMLingua2.ipynb), [RAG](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/RAG.ipynb), [Online Meeting](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/OnlineMeeting.ipynb), [CoT](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/CoT.ipynb), [Code](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/Code.ipynb), and [RAG using LlamaIndex](https://github.com/microsoft/LLMLingua/blob/main/examples/examples/RAGLlamaIndex.ipynb).
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  """
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  INTRO_EXAMPLES = '''