Update README.md

Signed-off-by: Haihao Shen <haihao.shen@intel.com>

README.md

@@ -12,11 +12,10 @@ Intel® Extension for Transformers
 
 ## 🚀Latest News
 * [2023/10] LLM runtime, an Intel-optimized [GGML](https://github.com/ggerganov/ggml) compatiable runtime, demonstrates **up to 15x performance gain in 1st token generation and 1.5x in other token generation** over the default [llama.cpp](https://github.com/ggerganov/llama.cpp).
-* [2023/10] LLM runtime now supports LLM infernce with **infinite-length inputs up to 4 million tokens**, powered by [StreamingLLM](https://arxiv.org/abs/2309.17453).
+* [2023/10] LLM runtime now supports LLM infernce with **infinite-length inputs up to 4 million tokens**, inspired from [StreamingLLM](https://arxiv.org/abs/2309.17453).
 * [2023/09] NeuralChat has been showcased in [**Intel Innovation’23 Keynote**](https://www.youtube.com/watch?v=RbKRELWP9y8&t=2954s) and [Google Cloud Next'23](https://cloud.google.com/blog/topics/google-cloud-next/welcome-to-google-cloud-next-23) to demonstrate GenAI/LLM capabilities on Intel Xeon Scalable Processors.
 * [2023/08] NeuralChat supports **custom chatbot development and deployment within minutes** on broad Intel HWs such as Xeon Scalable Processors, Gaudi2, Xeon CPU Max Series, Data Center GPU Max Series, Arc Series, and Core Processors. Check out [Notebooks](./intel_extension_for_transformers/neural_chat/docs/full_notebooks.md).
-
-* [2023/07] LLM runtime extends Hugging Face Transformers API to provide seamless low precision inference for popular LLMs, supporting mainstream low precision data types such as INT8/FP8/INT4/FP4/NF4.
+* [2023/07] LLM runtime extends Hugging Face Transformers API to provide seamless low precision inference for popular LLMs, supporting mainstream low precision data types such as INT3/INT4/FP4/NF4/INT5/INT8/FP8.
 
 ---
 <div align="left">