diff --git a/docs/usage/validation_decorator.md b/docs/usage/validation_decorator.md
index 1f5fe546ad..a6665bc9c7 100644
--- a/docs/usage/validation_decorator.md
+++ b/docs/usage/validation_decorator.md
@@ -396,18 +396,3 @@ it never will be.
 ### Return value
 
 The return value of the function may optionally be validated against its return type annotation.
-
-### Model fields and reserved arguments
-
-The following names may not be used by arguments since they can be used internally to store information about
-the function's signature:
-
-* `v__args`
-* `v__kwargs`
-* `v__positional_only`
-
-These names (together with `"args"` and `"kwargs"`) may or may not (depending on the function's signature) appear as
-fields on the internal Pydantic model accessible via `.model` thus this model isn't especially useful
-(e.g. for generating a schema) at the moment.
-
-This should be fixable in future as the way error are raised is changed.
diff --git a/pydantic/_internal/_std_types_schema.py b/pydantic/_internal/_std_types_schema.py
index ec74a6f8c0..0e523bc96f 100644
--- a/pydantic/_internal/_std_types_schema.py
+++ b/pydantic/_internal/_std_types_schema.py
@@ -625,7 +625,7 @@ def infer_default() -> Callable[[], Any]:
             bool: bool,
         }
         values_type_origin = get_origin(values_source_type) or values_source_type
-        instructions = 'set using `DefaultDict[..., Annotated[..., Field(default_factory=...)]]'
+        instructions = 'set using `DefaultDict[..., Annotated[..., Field(default_factory=...)]]`'
         if isinstance(values_type_origin, TypeVar):
 
             def type_var_default_factory() -> None:
diff --git a/pydantic/main.py b/pydantic/main.py
index eebe5bc56f..e986642b5b 100644
--- a/pydantic/main.py
+++ b/pydantic/main.py
@@ -1287,8 +1287,7 @@ def create_model(
         __cls_kwargs__: A dictionary of keyword arguments for class creation.
         __slots__: Deprecated. Should not be passed to `create_model`.
         **field_definitions: Attributes of the new model. They should be passed in the format:
-            `<name>=(<type>, <default value>)` or `<name>=<default value>`. For more complex cases, they can be
-            passed in the format: `<name>=<Field>` or `<name>=(<type>, <FieldInfo>)`.
+            `<name>=(<type>, <default value>)` or `<name>=(<type>, <FieldInfo>)`.
 
     Returns:
         The new [model][pydantic.BaseModel].