Merge branch 'main' into dependabot/github_actions/actions/setup-node-3

.github/dependabot.yml

@@ -1,6 +0,0 @@
-version: 2
-updates:
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    schedule:
-      interval: "daily"

README.md

@@ -94,7 +94,7 @@ You can find a detailed documentation about FLAML [here](https://microsoft.githu
 
 In addition, you can find:
 
-- Demo and tutorials of FLAML [here](https://www.youtube.com/channel/UCfU0zfFXHXdAd5x-WvFBk5A).
+- [Talks](https://www.youtube.com/channel/UCfU0zfFXHXdAd5x-WvFBk5A) and [tutorials](https://github.com/microsoft/FLAML/tree/tutorial/tutorial) about FLAML.
 
 - Research around FLAML [here](https://microsoft.github.io/FLAML/docs/Research).
 

website/docs/Getting-Started.md

@@ -90,7 +90,7 @@ Then, you can use it just like you use the original `LGMBClassifier`. Your other
 
 * Understand the use cases for [Task-oriented AutoML](Use-Cases/task-oriented-automl), [Tune user-defined function](Use-Cases/Tune-User-Defined-Function) and [Zero-shot AutoML](Use-Cases/Zero-Shot-AutoML).
 * Find code examples under "Examples": from [AutoML - Classification](Examples/AutoML-Classification) to [Tune - PyTorch](Examples/Tune-PyTorch).
-* Watch [video tutorials](https://www.youtube.com/channel/UCfU0zfFXHXdAd5x-WvFBk5A).
+* Find [talks](https://www.youtube.com/channel/UCfU0zfFXHXdAd5x-WvFBk5A) and [tutorials](https://github.com/microsoft/FLAML/tree/tutorial/tutorial) about FLAML.
 * Learn about [research](Research) around FLAML.
 * Refer to [SDK](reference/automl) and [FAQ](FAQ).