diff --git a/tutorials/03-bayesian-neural-network/index.qmd b/tutorials/03-bayesian-neural-network/index.qmd
index e49d254ce..84f64eeeb 100755
--- a/tutorials/03-bayesian-neural-network/index.qmd
+++ b/tutorials/03-bayesian-neural-network/index.qmd
@@ -10,7 +10,7 @@ using Pkg;
 Pkg.instantiate();
 ```
 
-In this tutorial, we demonstrate how one can implement a Bayesian Neural Network using a combination of Turing and [Flux](https://github.com/FluxML/Flux.jl), a suite of machine learning tools. We will use Flux to specify the neural network's layers and Turing to implement the probabilistic inference, with the goal of implementing a classification algorithm.
+In this tutorial, we demonstrate how one can implement a Bayesian Neural Network using a combination of Turing and [Lux](https://github.com/LuxDL/Lux.jl), a suite of machine learning tools. We will use Flux to specify the neural network's layers and Turing to implement the probabilistic inference, with the goal of implementing a classification algorithm.
 
 We will begin with importing the relevant libraries.
 
@@ -291,4 +291,4 @@ anim = @gif for i in 1:n_end
 end every 5
 ```
 
-This has been an introduction to the applications of Turing and Flux in defining Bayesian neural networks.
\ No newline at end of file
+This has been an introduction to the applications of Turing and Lux in defining Bayesian neural networks.