From c59bda6cc4b0d200644ca5a77f2aec676fb8dda6 Mon Sep 17 00:00:00 2001
From: jfrery <jordan.frery@zama.ai>
Date: Tue, 26 Sep 2023 13:07:51 +0200
Subject: [PATCH] chore: fix list

---
 doc/tutorials/privacy_preserving.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/tutorials/privacy_preserving.rst b/doc/tutorials/privacy_preserving.rst
index 9503f769e6f5..0386f48190e8 100644
--- a/doc/tutorials/privacy_preserving.rst
+++ b/doc/tutorials/privacy_preserving.rst
@@ -67,8 +67,8 @@ Note that using FHE="execute" is a convenient way to assess the model in FHE, bu
 Concrete ML provides a deployment API to facilitate this process, ensuring end-to-end privacy.
 
 To go further in the deployment API you can read:
-- the `deployment documentation <https://docs.zama.ai/concrete-ml/advanced-topics/client_server>`_
-- the `deployment notebook <https://github.com/zama-ai/concrete-ml/blob/17779ca571d20b001caff5792eb11e76fe2c19ba/docs/advanced_examples/ClientServer.ipynb>`_
+* the `deployment documentation <https://docs.zama.ai/concrete-ml/advanced-topics/client_server>`_
+* the `deployment notebook <https://github.com/zama-ai/concrete-ml/blob/17779ca571d20b001caff5792eb11e76fe2c19ba/docs/advanced_examples/ClientServer.ipynb>`_
 
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 Parameter Tuning in Concrete ML