Update the readme (#256)

Author: aoyulong

README.md

@@ -1,5 +1,9 @@
 ## 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.
+  - Added the full support for LLaVA-OneVision, achieving SOTA results on the [Infinity-MM](https://arxiv.org/abs/2410.18558) dataset.
+  - Open-sourced the optimized CFG implementation and accelerated the generation and understanding tasks for [Emu3](https://arxiv.org/abs/2409.18869).
+  - Implemented the auto-tuning feature and enhanced the CI/CD system.
 - **[2024/4]** Released [v0.3](https://github.com/FlagOpen/FlagScale/tree/release/v0.3): Achieved heterogeneous hybrid training of the Aquila2-70B-Expr model on a cluster using both NVIDIA and Iluvatar chips. Adapted the Aquila2 series to AI chips from six different manufacturers.
 - **[2023/11]** Released [v0.2](https://github.com/FlagOpen/FlagScale/tree/v0.2): Introduced training support for Aquila2-70B-Expr, enabling heterogeneous training across chips with the same or compatible architectures.
 - **[2023/10]** Released [v0.1](https://github.com/FlagOpen/FlagScale/tree/v0.1): Supported Aquila models with optimized training schemes for Aquila2-7B and Aquila2-34B, including parallel strategies, optimizations, and hyper-parameter settings.