diff --git a/examples/README.md b/examples/README.md
index a02026603..181656db3 100644
--- a/examples/README.md
+++ b/examples/README.md
@@ -51,7 +51,7 @@ guide](../docs/basic_usage/disaggregated_training.md).
 
 Offline feature training supports EAGLE3, DFlash, Domino, and DSpark, including
 local and disaggregated consumers. Optional config sections provide
-online/offline evaluation with `<run_id>-best` selection, compact teacher
+offline evaluation with `<run_id>-best` selection, compact teacher
 projection for offline text EAGLE3, and W&B, TensorBoard, SwanLab, or MLflow
 tracking. See the [training guide](../docs/basic_usage/training.md) for the full
 capability matrix, ROCm installation, and Ascend NPU/HCCL launch example.