Fix links in workflow tutorial (#3119)

* Fix links in workflow tutorial

* Fix one more link

tutorial/source/workflow.ipynb

@@ -180,7 +180,7 @@
    "source": [
     "## Create a generative model\n",
     "\n",
-    "The first step to using Pyro is creating a generative model, either a python function or a [pyro.nn.Module](https://docs.pyro.ai/en/dev/nn.html#pyro.nn.module.PyroModule). Start simple. Start with a shallow hierarchy and later add latent variables to share statistical strength. Start with a slice of your data then add a [plate]() over multiple slices. Start with simple distributions like [Normal](), [LogNormal](), [Poisson]() and [Multinomial](), then consider overdispersed versions like [StudentT](), [Gamma](), [GammaPoisson]()/[NegativeBinomial](), and [DirichletMultinomial](). Keep your model simple and readable so you can share it and get feedback from domain experts. Use [weakly informative priors](http://www.stat.columbia.edu/~gelman/presentations/weakpriorstalk.pdf)."
+    "The first step to using Pyro is creating a generative model, either a python function or a [pyro.nn.Module](https://docs.pyro.ai/en/dev/nn.html#pyro.nn.module.PyroModule). Start simple. Start with a shallow hierarchy and later add latent variables to share statistical strength. Start with a slice of your data then add a [plate](https://docs.pyro.ai/en/stable/primitives.html#pyro.primitives.plate) over multiple slices. Start with simple distributions like [Normal](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Normal), [LogNormal](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.LogNormal), [Poisson](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Poisson) and [Multinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Multinomial), then consider overdispersed versions like [StudentT](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.StudentT), [Gamma](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.Gamma), [GammaPoisson](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.GammaPoisson)/[NegativeBinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.NegativeBinomial), and [DirichletMultinomial](https://docs.pyro.ai/en/stable/distributions.html#pyro.distributions.DirichletMultinomial). Keep your model simple and readable so you can share it and get feedback from domain experts. Use [weakly informative priors](http://www.stat.columbia.edu/~gelman/presentations/weakpriorstalk.pdf)."
    ]
   },
   {
@@ -1173,7 +1173,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.8.11"
   }
  },
  "nbformat": 4,