Update air.ipynb (#3066)

tutorial/source/air.ipynb

@@ -119,7 +119,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Inference is performed in this model using [amortized stochastic variational inference](svi_part_i.ipynb) (SVI). The parameters of the neural network are also optimized during inference. Performing inference in such rich models is always difficult, but the presence of discrete choices (the number of steps in this case) makes inference in this model particularly tricky. For this reason the authors use a technique called data dependent baselines to achieve good performance. This technique can be implemented in Pyro, and we'll see how later in the tutorial.\n",
+    "Inference is performed in this model using [amortized stochastic variational inference](svi_part_ii.ipynb) (SVI). The parameters of the neural network are also optimized during inference. Performing inference in such rich models is always difficult, but the presence of discrete choices (the number of steps in this case) makes inference in this model particularly tricky. For this reason the authors use a technique called data dependent baselines to achieve good performance. This technique can be implemented in Pyro, and we'll see how later in the tutorial.\n",
     "\n",
     "## Model\n",
     "\n",