revise key features

website/docs/Getting-Started.md

@@ -55,9 +55,9 @@ response = autogen.Completion.create(context=test_instance, **config)
 * Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat).
 * Understand the use cases for [enhanced LLM inference](/docs/Use-Cases/enhanced_inference).
 * Find code examples from [Examples](/docs/Examples/AutoGen-AgentChat).
-* Learn about [research](/docs/Research) around AutoGen and check [blogposts](/blog).
-* Chat on [Discord](TBD).
+* Learn about [research](/docs/Research) around AutoGen.
+* Chat on [Discord](https://discord.gg/Cppx2vSPVP).
 
-If you like our project, please give it a [star](https://github.com/microsoft/autogen/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/Contribute).
+If you like our project, please give it a [star](https://github.com/microsoft/FLAML/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/Contribute).
 
-<iframe src="https://ghbtns.com/github-btn.html?user=microsoft&amp;repo=autogen&amp;type=star&amp;count=true&amp;size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
+<iframe src="https://ghbtns.com/github-btn.html?user=microsoft&amp;repo=FLAML&amp;type=star&amp;count=true&amp;size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>

website/docusaurus.config.js

@@ -4,7 +4,7 @@ const katex = require('rehype-katex');
 
 module.exports = {
   title: 'AutoGen',
-  tagline: 'Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework',
+  tagline: 'Enabling Next-Gen LLM Applications',
   url: 'https://microsoft.github.io/',
   baseUrl: '/AutoGen/',
   onBrokenLinks: 'throw',

website/src/components/HomepageFeatures.js

@@ -5,28 +5,17 @@ import styles from './HomepageFeatures.module.css';
 
 const FeatureList = [
   {
-    title: 'Customizable and Convertible Agents ',
+    title: 'Build Workflows with Multi-Agent Conversations',
     Svg: require('../../static/img/auto.svg').default,
-    docLink: './docs/Use-Cases/agent_chat#agents',
+    docLink: './docs/Use-Cases/agent_chat',
     description: (
       <>
-        AutoGen provides customizable and convertible agents that can be backed by 
-        LLMs, humans, tools, or a combination of them.
+        AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows.
       </>
     ),
   },
   {
-    title: 'Flexible Multi-Conversation Patterns',
-    Svg: require('../../static/img/extend.svg').default,
-    docLink: './docs/Use-Cases/agent_chat#multi-agent-conversations',
-    description: (
-      <>
-      AutoGen supports flexible conversation patterns for realizing complex and dynamic workflows. 
-      </>
-    ),
-  },
-  {
-    title: 'Diverse Applications',
+    title: 'Support Diverse Applications At Ease',
     Svg: require('../../static/img/fast.svg').default,
     docLink: './docs/Use-Cases/agent_chat#diverse-applications-implemented-with-autogen',
     description: (
@@ -35,6 +24,16 @@ const FeatureList = [
       </>
     ),
   },
+  {
+    title: 'Optimize Performance of LLM Inferences',
+    Svg: require('../../static/img/extend.svg').default,
+    docLink: './docs/Use-Cases/enhanced_inference',
+    description: (
+      <>
+      AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost.
+      </>
+    ),
+  }, 
 ];
 
 function Feature({Svg, title, description, docLink}) {