From 4cd57fd56819db202c4f1e6da155101f178a9d5f Mon Sep 17 00:00:00 2001
From: Jonas Mueller <1390638+jwmueller@users.noreply.github.com>
Date: Sun, 13 Oct 2024 02:34:27 -0600
Subject: [PATCH] fix tlm tutorial links

---
 cleanlab_studio/studio/trustworthy_language_model.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cleanlab_studio/studio/trustworthy_language_model.py b/cleanlab_studio/studio/trustworthy_language_model.py
index 5a527438..c1e27740 100644
--- a/cleanlab_studio/studio/trustworthy_language_model.py
+++ b/cleanlab_studio/studio/trustworthy_language_model.py
@@ -3,7 +3,7 @@
 
 **This module is not meant to be imported and used directly.** Instead, use [`Studio.TLM()`](/reference/python/studio/#method-tlm) to instantiate a [TLM](#class-tlm) object, and then you can use the methods like [`prompt()`](#method-prompt) and [`get_trustworthiness_score()`](#method-get_trustworthiness_score) documented on this page.
 
-The [Trustworthy Language Model tutorial](/tutorials/tlm/) further explains TLM and its use cases.
+The [Trustworthy Language Model tutorial](/tlm/tutorials/tlm) further explains TLM and its use cases.
 """
 
 from __future__ import annotations
@@ -143,7 +143,7 @@ class TLM:
 
     The TLM object can be used as a drop-in replacement for an LLM, or, for estimating trustworthiness scores for arbitrary text prompt/response pairs.
 
-    For advanced use, TLM offers configuration options. The documentation below summarizes these options, and more details are explained in the [TLM tutorial](/tutorials/tlm).
+    For advanced use, TLM offers configuration options. The documentation below summarizes these options, and more details are explained in the [TLM tutorial](/tlm/tutorials/tlm).
 
     ** The TLM object is not meant to be constructed directly.** Instead, use the [`Studio.TLM()`](../studio/#method-tlm)
     method to configure and instantiate a TLM object.