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README.md

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+[<img src="flagopen.png">](https://flagopen.baai.ac.cn/)
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 ## Latest News
 - **[2024/11]** Released [v0.6.0](https://github.com/FlagOpen/FlagScale/tree/release/v0.6.0): 
   - Introduced general multi-dimensional heterogeneous parallelism and CPU-based communication between different chips.
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 [FlagScale](https://github.com/FlagOpen/FlagScale.git) is a comprehensive toolkit designed to support the entire lifecycle of large models, developed with the backing of the Beijing Academy of Artificial Intelligence (BAAI). It builds on the strengths of several prominent open-source projects, including [Megatron-LM](https://github.com/NVIDIA/Megatron-LM) and [vllm](https://github.com/vllm-project/vllm), to provide a robust, end-to-end solution for managing and scaling large models.
 
-The primary objective of FlagScale is to enable seamless scalability across diverse hardware architectures while maximizing computational resource efficiency and enhancing model performance. By offering essential components for model development, training, and deployment, FlagScale aims to serve as an indispensable toolkit for optimizing both the speed and effectiveness of large model workflows.
+The primary objective of FlagScale is to enable seamless scalability across diverse hardware architectures while maximizing computational resource efficiency and enhancing model performance. By offering essential components for model development, training, and deployment, FlagScale seeks to establish itself as an indispensable toolkit for optimizing both the speed and effectiveness of large model workflows.
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+FlagScale is also a part of [FlagAI-Open](https://flagopen.baai.ac.cn/), an open-source initiative by BAAI that aims to foster an open-source ecosystem for AI technologies. It serves as a platform where developers, researchers, and AI enthusiasts can collaborate on various AI projects, contribute to the development of cutting-edge AI solutions, and share their work with the global community.
 
 ## Quick Start