diff --git a/dpgen/generator/arginfo.py b/dpgen/generator/arginfo.py
index 99c8ec406..0f8abb865 100644
--- a/dpgen/generator/arginfo.py
+++ b/dpgen/generator/arginfo.py
@@ -99,7 +99,7 @@ def training_args_dp() -> list[Argument]:
     )
     doc_training_iter0_model_path = "The model used to init the first iter training. Number of element should be equal to numb_models."
     doc_training_init_model = "Iteration > 0, the model parameters will be initilized from the model trained at the previous iteration. Iteration == 0, the model parameters will be initialized from training_iter0_model_path."
-    doc_default_training_param = "Training parameters for deepmd-kit in 00.train. You can find instructions from `DeePMD-kit documentation <https://docs.deepmodeling.org/projects/deepmd/>`_."
+    doc_default_training_param = "Training parameters for deepmd-kit in 00.train. You can find instructions from `DeePMD-kit documentation <https://docs.deepmodeling.com/projects/deepmd/>`_."
     doc_dp_train_skip_neighbor_stat = "Append --skip-neighbor-stat flag to dp train."
     doc_dp_compress = "Use dp compress to compress the model."
     doc_training_reuse_iter = "The minimal index of iteration that continues training models from old models of last iteration."
diff --git a/examples/run/dprc/generator.yaml b/examples/run/dprc/generator.yaml
index 3202777e3..41a8bff08 100644
--- a/examples/run/dprc/generator.yaml
+++ b/examples/run/dprc/generator.yaml
@@ -53,7 +53,7 @@ default_training_param:
       list:
         # QM-QM descriptor
         - type: se_a
-          # sel: refer https://docs.deepmodeling.org/projects/deepmd/en/latest/model/sel.html to obatin the proper sel
+          # sel: refer https://docs.deepmodeling.com/projects/deepmd/en/latest/model/sel.html to obatin the proper sel
           # In a DPRc model, sel of MM atoms for the QM-QM descriptor should be set to zero.
           sel:
             - 6