diff --git a/tutorials/bayesian-neural-networks/index.qmd b/tutorials/bayesian-neural-networks/index.qmd
index 41e02f757..0e019ccab 100755
--- a/tutorials/bayesian-neural-networks/index.qmd
+++ b/tutorials/bayesian-neural-networks/index.qmd
@@ -208,7 +208,7 @@ n_iters = 2_000
 ch = sample(bayes_nn(reduce(hcat, xs), ts), NUTS(; adtype=AutoMooncake()), n_iters);
 ```
 
-Now we extract the parameter samples from the sampled chain as `θ` (this is of size `5000 x 20` where `5000` is the number of iterations and `20` is the number of parameters). We'll use these primarily to determine how good our model's classifier is.
+Now we extract the parameter samples from the sampled chain as `θ` (this is of size `2000 x 20` where `2000` is the number of iterations and `20` is the number of parameters). We'll use these primarily to determine how good our model's classifier is.
 
 ```{julia}
 # Extract all weight and bias parameters.