From 04e44193664d3d9cec9df217ae5f30871cb45d67 Mon Sep 17 00:00:00 2001
From: wenxie-amd <wen.xie@amd.com>
Date: Mon, 10 Nov 2025 19:43:18 -0600
Subject: [PATCH] fix typo error

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 8a349f66..3da64f60 100644
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@
 
 |    Module    | Role | Key Features | Dependencies / Integration |
 |--------------|------|--------------|-----------------------------|
-| [**Primus-LM**](https://github.com/AMD-AGI/Primus)         | End-to-end training framework | - Supports multiple training backends (Megatron, TorchTitan, etc.)<br>- Provides high-performance, scalable distributed training<br>- Deeply integrates with Turbo and Safe | - Can invoke Primus-Turbo kernels and modules<br>- Runs on top of Primus-Safe for stable scheduling |
+| [**Primus-LM**](https://github.com/AMD-AGI/Primus)         | End-to-end training framework | - Supports multiple training backends (Megatron, TorchTitan, etc.)<br>- Provides high-performance, scalable distributed training<br>- Deeply integrates with Primus-Turbo and Primus-SaFE | - Can invoke Primus-Turbo kernels and modules<br>- Runs on top of Primus-SaFE for stable scheduling |
 | [**Primus-Turbo**](https://github.com/AMD-AGI/Primus-Turbo)         | High-performance operators & modules | - Provides common LLM training operators (FlashAttention, GEMM, Collectives, GroupedGemm, etc.)<br>- Modular design, directly pluggable into Primus-LM<br>- Optimized for different architectures and precisions | - Built on [**AITER**](https://github.com/ROCm/aiter), [**CK**](https://github.com/ROCm/composable_kernel), [**hipBLASLt**](https://github.com/ROCm/hipBLASLt), [**Triton**](https://github.com/ROCm/triton)  and other operator libraries<br>- Can be enabled via configuration inside Primus-LM |
 | [**Primus-SaFE**](https://github.com/AMD-AGI/Primus-SaFE)         | Stability & platform layer | - Cluster sanity check and benchmarking<br>- Kubernets scheduling with topology awareness<br>- Fault tolerance<br>- Stability enhancements | - Building a training platform based on the K8s and Slurm ecosystem |