diff --git a/ray-crash-course/06-Exploring-Ray-API-Calls.ipynb b/ray-crash-course/06-Exploring-Ray-API-Calls.ipynb
index 9ec7c7c..1fd808a 100644
--- a/ray-crash-course/06-Exploring-Ray-API-Calls.ipynb
+++ b/ray-crash-course/06-Exploring-Ray-API-Calls.ipynb
@@ -120,7 +120,7 @@
     "| :--- | :--- | :------ | :---------- |\n",
     "| `num_cpus` | `int` | `num_cpus=4` | The number of CPU cores to reserve for this task or for the lifetime of the actor. |\n",
     "| `num_gpus` | `int` | `num_gpus=1` | The number of GPU cores to reserve for this task or for the lifetime of the actor. |\n",
-    "| `num_return_vals` | `int` | `num_return_vals=2` | (Only for tasks, not actors.) The number of object refs returned by the remote function invocation. |\n",
+    "| `num_returns` | `int` | `num_returns=2` | (Only for tasks, not actors.) The number of object refs returned by the remote function invocation. |\n",
     "| `resources` | `map` | `resources={'flibberts': 5}` | The quantity of various custom resources to reserve for this task or for the lifetime of the actor. This is a dictionary mapping strings (resource names) to numbers. |\n",
     "| `max_calls` | `int` | `max_calls=5` | Only for *remote tasks*. This specifies the maximum of times that a given worker can execute the given remote function before it must exit (this can be used to address memory leaks in third-party libraries or to reclaim resources that cannot easily be released, e.g., GPU memory that was acquired by TensorFlow). By default this is infinite. |\n",
     "| `max_restarts` | `int` | `max_restarts=-1` | Only for *actors*. This specifies the maximum number of times that the actor should be restarted when it dies unexpectedly. The minimum valid value is 0 (default), which indicates that the actor doesn't need to be restarted. A value of -1 indicates that an actor should be restarted indefinitely. |\n",
@@ -136,7 +136,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "@ray.remote(num_return_vals=3)\n",
+    "@ray.remote(num_returns=3)\n",
     "def tuple3(one, two, three):\n",
     "    return (one, two, three)\n",
     "\n",
@@ -159,7 +159,7 @@
    "source": [
     "### @ray.method()\n",
     "\n",
-    "Related to `@ray.remote()`, [@ray.method()](https://ray.readthedocs.io/en/latest/package-ref.html#ray.method) allows you to specify the number of return values for a method in an actor, by passing the `num_return_vals` keyword argument. None of the other `@ray.remote()` keyword arguments are allowed. Here is an example:"
+    "Related to `@ray.remote()`, [@ray.method()](https://ray.readthedocs.io/en/latest/package-ref.html#ray.method) allows you to specify the number of return values for a method in an actor, by passing the `num_returns` keyword argument. None of the other `@ray.remote()` keyword arguments are allowed. Here is an example:"
    ]
   },
   {
@@ -170,7 +170,7 @@
    "source": [
     "@ray.remote\n",
     "class Tupleator:\n",
-    "    @ray.method(num_return_vals=3)\n",
+    "    @ray.method(num_returns=3)\n",
     "    def tuple3(self, one, two, three):\n",
     "        return (one, two, three)\n",
     "    \n",
@@ -346,4 +346,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file