Fix tutorial link

README.md

@@ -133,7 +133,7 @@ Pick one that is closest to your needs.
 | [`local`](examples/pipelines/local/app.py)                 | This example runs the application using Huggingface Transformers, which eliminates the need for the data to leave the machine. It provides a convenient way to use state-of-the-art NLP models locally.                                                                                                                                 |
 | [`unstructured-to-sql`](examples/pipelines/unstructured_to_sql_on_the_fly/app.py) | This example extracts the data from unstructured files and stores it into a PostgreSQL table. It also transforms the user query into an SQL query which is then executed on the PostgreSQL table.                                                                                                                                 |
 | [`alert`](examples/pipelines/alert/app.py)     | Ask questions, get alerted whenever response changes. Pathway is always listening for changes, whenever new relevant information is added to the stream (local files in this example), LLM decides if there is a substantial difference in response and notifies the user with a Slack message.                                                                                                                                              |
-| [`drive-alert`](examples/pipelines/drive_alert/app.py)     | The [`alert`](examples/pipelines/alert/app.py) example on steroids. Whenever relevant information on Google Docs is modified or added, get real-time alerts via Slack. See the [`tutorial`](https://pathay.com/developers/showcases/llm-alert-pathway).                                                                                                                                            |
+| [`drive-alert`](examples/pipelines/drive_alert/app.py)     | The [`alert`](examples/pipelines/alert/app.py) example on steroids. Whenever relevant information on Google Docs is modified or added, get real-time alerts via Slack. See the [`tutorial`](https://pathway.com/developers/showcases/llm-alert-pathway).                                                                                                                                            |
 
 
 ### Step 1: Clone the repository