Merge branch 'website' of https://github.com/microsoft/Trace into web…

…site
microsoft · Jun 23, 2024 · 1898196 · 1898196
2 parents 701676d + e19f240
commit 1898196
Showing 1 changed file with 4 additions and 3 deletions.
diff --git a/docs/index.html b/docs/index.html
@@ -81,14 +81,15 @@
       <!-- <div class="preloader bg-soft flex-column justify-content-center align-items-center">
   <img class="loader-element" src="assets/img/brand/dark.svg" height="50" alt="Rocket logo">
       </div> -->
-
+<!-- Building End-to-end Automatic Optimization of AI Systems <br> -->
       <!-- Hero -->
       <section class="section-header pb-11 pb-lg-13 bg-primary text-white">
           <div class="container">
               <div class="row justify-content-center">
                   <div class="col-12 col-md-10 text-center">
                       <h1 class="display-1 mb-4">Trace, the new Auto-Diff</h1>
-                      <p class="lead mb-5 px-lg-5">The Path to Self-Adapting AI Agents: <br>Building End-to-end Automatic Optimization of AI Systems.</p>
+                      <!-- Building End-to-end Automatic Optimization of AI Systems <br>  -->
+                      <p class="lead mb-5 px-lg-5">The Path to Self-Adapting AI Agents </p>
                   </div>
               </div>
               <div class="row justify-content-center">
@@ -130,7 +131,7 @@ <h1 class="display-1 mb-4">Trace, the new Auto-Diff</h1>
             <div class="row justify-content-center mb-5">
                 <div class="col-12 col-md-8 text-center">
                     <h2 class="h1 font-weight-bolder mb-4">What is Trace?</h2>
-                    <p>Trace is a new AutoDiff-like tool for training AI systems. This generalization is made possible by a new mathematical formulation of optimization, Optimization with Trace Oracle (OPTO), which can describe end-to-end optimization of AI systems with general feedback (like numerical losses, natural language, errors, etc.). Trace is implemented as a PyTorch-like Python library with which users can easily create trainable AI systems and train them like training neural networks!
+                    <p>Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback (like numerical losses, natural language, errors, etc.).  This gradient-free generalization of back-propagation is made possible by a new mathematical formulation of optimization, we call Optimization with Trace Oracle (OPTO).  Trace is implemented as a PyTorch-like Python library. With Trace, users can easily create trainable AI systems and train them like training neural networks!
                         <!-- Instead of propagating gradients (which are not necessarily defined for AI systems),
                         Trace propagates <i>Minimal Subgraphs</i> (Trace Graphs), which can be used to recover propagated when applicable. Trace is implemented as a PyTorch-like Python library with which users can easily create trainable AI systems and train them like training neural networks. </p> -->
                 </div>