diff --git a/docs/source/tutorials/basic_renewal_model.qmd b/docs/source/tutorials/basic_renewal_model.qmd
index 554f4a77..2b108a7b 100644
--- a/docs/source/tutorials/basic_renewal_model.qmd
+++ b/docs/source/tutorials/basic_renewal_model.qmd
@@ -33,7 +33,7 @@ from pyrenew.metaclass import (
 import pyrenew.transformation as t
 from numpyro.infer.reparam import LocScaleReparam
 ```
-By default, XLA (which is used by JAX for compilation) considers all CPU cores as one device. Depending on your system's configuration, we recommend using numpyro's [`set_host_device_count()`](https://num.pyro.ai/en/stable/utilities.html#set-host-device-count) function to set the number of devices available for parallel computing. Here, we set the device count to be 2.
+By default, XLA (which is used by JAX for compilation) considers all CPU cores as one device. Depending on your system's configuration, we recommend using numpyro's [set_host_device_count()](https://num.pyro.ai/en/stable/utilities.html#set-host-device-count) function to set the number of devices available for parallel computing. Here, we set the device count to be 2.
 ```{python}
 # | label: set-device-count
 numpyro.set_host_device_count(2)
diff --git a/docs/source/tutorials/hospital_admissions_model.qmd b/docs/source/tutorials/hospital_admissions_model.qmd
index 93b16477..31feec99 100644
--- a/docs/source/tutorials/hospital_admissions_model.qmd
+++ b/docs/source/tutorials/hospital_admissions_model.qmd
@@ -6,7 +6,7 @@ engine: jupyter
 
 This document illustrates how a hospital admissions-only model can be fitted using data from the Pyrenew package, particularly the wastewater dataset. The CFA wastewater team created this dataset, which contains simulated data.
 
-We begin by loading `numpyro` and configuring the device count to 2 to enable running MCMC chains in parallel. By default, XLA (which is used by JAX for compilation) considers all CPU cores as one device. Depending on your system's configuration, we recommend using numpyro's [`set_host_device_count()`](https://num.pyro.ai/en/stable/utilities.html#set-host-device-count) function to set the number of devices available for parallel computing.
+We begin by loading `numpyro` and configuring the device count to 2 to enable running MCMC chains in parallel. By default, XLA (which is used by JAX for compilation) considers all CPU cores as one device. Depending on your system's configuration, we recommend using numpyro's [set_host_device_count()](https://num.pyro.ai/en/stable/utilities.html#set-host-device-count) function to set the number of devices available for parallel computing.
 
 ```{python}
 # | label: numpyro setup