[docs] Make slack more prominent (#5792)

Co-Authored-By: Edward Oakes <ed.nmi.oakes@gmail.com>

doc/source/index.rst

@@ -11,6 +11,8 @@ Ray
 
 **Ray is a fast and simple framework for building and running distributed applications.**
 
+.. tip:: Join our `community slack <https://forms.gle/9TSdDYUgxYs8SA9e8>`_ to discuss Ray!
+
 Ray is packaged with the following libraries for accelerating machine learning workloads:
 
 - `Tune`_: Scalable Hyperparameter Tuning
@@ -24,6 +26,7 @@ View the `codebase on GitHub`_.
 .. _`codebase on GitHub`: https://github.com/ray-project/ray
 
 
+
 Quick Start
 -----------
 

doc/source/tune-tutorial.rst

@@ -1,6 +1,8 @@
 Tune Walkthrough
 ================
 
+.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey <https://forms.gle/7u5eH1avbTfpZ3dE6>`_!
+
 This tutorial will walk you through the following process to setup a Tune experiment. Specifically, we'll leverage ASHA and Bayesian Optimization (via HyperOpt) via the following steps:
 
   1. Integrating Tune into your workflow

doc/source/tune-usage.rst

@@ -1,6 +1,8 @@
 Tune User Guide
 ===============
 
+.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey <https://forms.gle/7u5eH1avbTfpZ3dE6>`_!
+
 Tune Overview
 -------------
 

doc/source/tune.rst

@@ -1,7 +1,7 @@
 Tune: A Scalable Hyperparameter Tuning Library
 ==============================================
 
-.. important:: Take the `2019 Ray Tune User Survey <https://forms.gle/7u5eH1avbTfpZ3dE6>`_ and show us your Tune project!
+.. tip:: Help make Tune better by taking our 3 minute `Ray Tune User Survey <https://forms.gle/7u5eH1avbTfpZ3dE6>`_!
 
 .. image:: images/tune.png
     :scale: 30%