diff --git a/tutorials/docs-13-using-turing-performance-tips/index.qmd b/tutorials/docs-13-using-turing-performance-tips/index.qmd
index 6eca73ee8..9dd73d752 100755
--- a/tutorials/docs-13-using-turing-performance-tips/index.qmd
+++ b/tutorials/docs-13-using-turing-performance-tips/index.qmd
@@ -81,7 +81,7 @@ The following example with abstract types
     p, n = size(x)
     params = Vector{Real}(undef, n)
     for i in 1:n
-        params[i] ~ truncated(Normal(), 0, Inf)
+        params[i] ~ truncated(Normal(); lower=0)
     end
 
     a = x * params
@@ -96,7 +96,7 @@ can be transformed into the following representation with concrete types:
     p, n = size(x)
     params = Vector{T}(undef, n)
     for i in 1:n
-        params[i] ~ truncated(Normal(), 0, Inf)
+        params[i] ~ truncated(Normal(); lower=0)
     end
 
     a = x * params
@@ -108,7 +108,7 @@ Alternatively, you could use `filldist` in this example:
 
 ```{julia}
 @model function tmodel(x, y)
-    params ~ filldist(truncated(Normal(), 0, Inf), size(x, 2))
+    params ~ filldist(truncated(Normal(); lower=0), size(x, 2))
     a = x * params
     return y ~ MvNormal(a, I)
 end