Add deprecation warning and refer to NeurIPS demo (#1)

Author: borzunov

index.html

@@ -261,6 +261,13 @@ <h1 class="faded title" style="margin-top:-3%;">
                     <p class="faded title" style="font-size:28px;">
                         What is hivemind?</p>
                     <br>
+                    <p class="faded text" style="margin-top: 16px; font-size: 18px;">
+                        <b style="color: #728FCE;">Note:</b>
+                         This page contains a severely outdated description of what hivemind does.
+                         For up-to-date information, see our NeurIPS 2021 demonstration
+                         <a href="https://training-transformers-together.github.io">"Training Transformers Together"</a> and
+                         <a href="https://github.com/learning-at-home/hivemind">our GitHub repository.</a>
+                    </p>
                     <p class="faded text" style="margin-top:16px;">
                         Hivemind is a library for decentralized training of large neural networks. In a nutshell, you want to train a neural network, but all you have is a bunch of enthusiasts with unreliable computers that communicate over the internet. Any peer may fail or leave at any time, but the training must go on. To meet this objective, hivemind models use a specialized layer type: the <b>D</b>ecentralized <b>M</b>ixture of <b>E</b>xperts (DMoE). Here's how it works:<br>
                     </p>