From b0c968d2d34640a4a52c959ff2fdb83ae1eeff06 Mon Sep 17 00:00:00 2001
From: Hong Ge <3279477+yebai@users.noreply.github.com>
Date: Mon, 27 May 2024 23:42:34 +0100
Subject: [PATCH] Update index.qmd

---
 .../docs-07-for-developers-variational-inference/index.qmd      | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tutorials/docs-07-for-developers-variational-inference/index.qmd b/tutorials/docs-07-for-developers-variational-inference/index.qmd
index 931519a72..500280b25 100755
--- a/tutorials/docs-07-for-developers-variational-inference/index.qmd
+++ b/tutorials/docs-07-for-developers-variational-inference/index.qmd
@@ -7,7 +7,7 @@ engine: julia
 
 In this post, we'll examine variational inference (VI), a family of approximate Bayesian inference methods. We will focus on one of the more standard VI methods, Automatic Differentiation Variational Inference (ADVI).
 
-Here, we'll examine the theory behind VI, but if you're interested in using ADVI in Turing, [check out this tutorial](../../docs/tutorials/09-variational-inference).
+Here, we'll examine the theory behind VI, but if you're interested in using ADVI in Turing, [check out this tutorial](../../tutorials/09-variational-inference).
 
 # Motivation