diff --git a/.typos.toml b/.typos.toml
index 85428a56..9398d36d 100644
--- a/.typos.toml
+++ b/.typos.toml
@@ -7,7 +7,12 @@ extend-exclude = [
     "customer-satisfaction/streamlit_app.py",
     "nba-pipeline/Building and Using An MLOPs Stack With ZenML.ipynb",
     "customer-satisfaction/tests/data_test.py",
-    "end-to-end-computer-vision/**/*.ipynb"
+    "end-to-end-computer-vision/**/*.ipynb",
+    "classifier-e2e/run_skip_basics.ipynb",
+    "classifier-e2e/run_full.ipynb",
+    "classifier-e2e/run_skip_basics.ipynb",
+    "classifier-e2e/run_full.ipynb",
+    "classifier-e2e/run_skip_basics.ipynb"
 ]
 
 [default.extend-identifiers]
diff --git a/llm-finetuning/README.md b/llm-finetuning/README.md
index 22252c03..d4a9863f 100644
--- a/llm-finetuning/README.md
+++ b/llm-finetuning/README.md
@@ -160,7 +160,7 @@ This project recently did a [call of volunteers](https://www.linkedin.com/feed/u
 
 While the work here is solely based on the task of finetuning the model for the ZenML library, the pipeline can be changed with minimal effort to point to any set of repositories on GitHub. Theoretically, one could extend this work to point to proprietary codebases to learn from them for any use-case.
 
-For example, see how [VMWare fine-tuned StarCoder to learn their style](https://octo.vmware.com/fine-tuning-starcoder-to-learn-vmwares-coding-style/).
+For example, see how [VMWare fine-tuned StarCoder to learn their style](https://entreprenerdly.com/fine-tuning-starcoder-to-create-a-coding-assistant-that-adapts-to-your-coding-style/).
 
 Also, make sure to join our <a href="https://zenml.io/slack" target="_blank">
     <img width="15" src="https://cdn3.iconfinder.com/data/icons/logos-and-brands-adobe/512/306_Slack-512.png" alt="Slack"/>