Merge pull request #438 from onurkanbakirci/patch-1

fix: broken link

08-building-search-applications/README.md

@@ -31,7 +31,7 @@ After completing this lesson, you will be able to:
 
 Creating a search application will help you understand how to use Embeddings to search for data. You will also learn how to build a search application that can be used by students to find information quickly.
 
-The lesson includes an Embedding Index of the YouTube transcripts for the Microsoft [AI Show](https://www.youtube.com/playlist?list=PLlrxD0HtieHi0mwteKBOfEeOYf0LJU4O1?WT.mc_id=academic-105485-koreyst) YouTube channel. The AI Show is a YouTube channel that teaches you about AI and machine learning. The Embedding Index contains the Embeddings for each of the YouTube transcripts up until Oct 2023. You will use the Embedding Index to build a search application for our startup. The search application returns a link to the place in the video where the answer to the question is located. This is a great way for students to find the information they need quickly.
+The lesson includes an Embedding Index of the YouTube transcripts for the Microsoft [AI Show](https://www.youtube.com/playlist?list=PLlrxD0HtieHi0mwteKBOfEeOYf0LJU4O1) YouTube channel. The AI Show is a YouTube channel that teaches you about AI and machine learning. The Embedding Index contains the Embeddings for each of the YouTube transcripts up until Oct 2023. You will use the Embedding Index to build a search application for our startup. The search application returns a link to the place in the video where the answer to the question is located. This is a great way for students to find the information they need quickly.
 
 The following is an example of a semantic query for the question 'can you use rstudio with azure ml?'. Check out the YouTube url, you'll see the url contains a timestamp that takes you to the place in the video where the answer to the question is located.