chore: fix link

doc/tutorials/privacy_preserving.rst

@@ -2,7 +2,7 @@
 Privacy Preserving Inference with Concrete ML
 #############################################
 
-Concrete ML is a specialized library allowing the execution of machine learning models on encrypted data through `Fully Homomorphic Encryption (FHE) <https://www.youtube.com/watch?v=FFox2S4uqEo>`, thereby preserving data privacy.
+`Concrete ML`_ is a specialized library allowing the execution of machine learning models on encrypted data through `Fully Homomorphic Encryption (FHE) <https://www.youtube.com/watch?v=FFox2S4uqEo>`_, thereby preserving data privacy.
 
 To use models such as XGBClassifier, use the following import:
 
@@ -92,6 +92,5 @@ Concrete ML provides a framework for executing privacy-preserving inferences by
 
 More information and examples are given in the `Concrete ML documentation`_.
 
-.. _Zama: https://www.zama.ai/
 .. _Concrete ML: https://github.com/zama-ai/concrete-ml
 .. _`Concrete ML documentation`: https://docs.zama.ai/concrete-ml