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diff --git a/docs/README-zh-Hans.md b/docs/README-zh-Hans.md
index 499d67a37..c6f15b6d6 100644
--- a/docs/README-zh-Hans.md
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@@ -24,7 +24,8 @@
## 新闻
-* [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific Llm Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
+* [2023/11] [Enhanced MoE Parallelism, Open-source MoE Model Training Can Be 9 Times More Efficient](https://www.hpc-ai.tech/blog/enhanced-moe-parallelism-open-source-moe-model-training-can-be-9-times-more-efficient)
+* [2023/09] [One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific LLM Solution](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
* [2023/09] [70 Billion Parameter LLaMA2 Model Training Accelerated by 195%](https://www.hpc-ai.tech/blog/70b-llama2-training)
* [2023/07] [HPC-AI Tech Raises 22 Million USD in Series A Funding](https://www.hpc-ai.tech/blog/hpc-ai-tech-raises-22-million-usd-in-series-a-funding-to-fuel-team-expansion-and-business-growth)
* [2023/07] [65B Model Pretraining Accelerated by 38%, Best Practices for Building LLaMA-Like Base Models Open-Source](https://www.hpc-ai.tech/blog/large-model-pretraining)
@@ -51,6 +52,7 @@
并行训练样例展示
- LLaMA 1/2 +
- MoE
- GPT-3
- GPT-2
- BERT @@ -260,6 +262,15 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的 [[代码]](https://github.com/hpcaitech/ColossalAI/tree/example/llama/examples/language/llama) [[博客]](https://www.hpc-ai.tech/blog/large-model-pretraining) +### MoE +
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diff --git a/examples/language/openmoe/README.md b/examples/language/openmoe/README.md
index a0821a533..45657f192 100644
--- a/examples/language/openmoe/README.md
+++ b/examples/language/openmoe/README.md
@@ -1,6 +1,15 @@
## OpenMoE
[OpenMoE](https://github.com/XueFuzhao/OpenMoE) is the open-source community's first decoder-only MoE transformer. OpenMoE is implemented in Jax, and [Colossal-AI](https://github.com/hpcaitech/ColossalAI) has pioneered an efficient open-source support for this model in PyTorch, enabling a broader range of users to participate in and use this model. The following example of [Colossal-AI](https://github.com/hpcaitech/ColossalAI) demonstrates finetune and inference methods.
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