diff --git a/website/docs/Examples/AutoGen-OpenAI.md b/website/docs/Examples/AutoGen-Inference.md
similarity index 100%
rename from website/docs/Examples/AutoGen-OpenAI.md
rename to website/docs/Examples/AutoGen-Inference.md
diff --git a/website/docs/Getting-Started.md b/website/docs/Getting-Started.md
index 46a848c4e..d8ae61830 100644
--- a/website/docs/Getting-Started.md
+++ b/website/docs/Getting-Started.md
@@ -37,6 +37,9 @@ user_proxy.initiate_chat(assistant, message="Plot a chart of META and TESLA stoc
 The figure below shows an example conversation flow with AutoGen.
 ![Agent Chat Example](/img/chat_example.png)
 
+* [Code examples](/docs/Examples/AutoGen-AgentChat).
+* [Documentation](/docs/Use-Cases/agent_chat).
+
 #### Enhanced LLM Inferences
 Autogen also helps maximize the utility out of the expensive LLMs such as ChatGPT and GPT-4. It offers a drop-in replacement of `openai.Completion` or `openai.ChatCompletion` with powerful functionalites like tuning, caching, error handling, templating. For example, you can optimize generations by LLM with your own tuning data, success metrics and budgets.
 ```python
@@ -54,11 +57,13 @@ config, analysis = autogen.Completion.tune(
 response = autogen.Completion.create(context=test_instance, **config)
 ```
 
+* [Code examples](/docs/Examples/AutoGen-Inference).
+* [Documentation](/docs/Use-Cases/enhanced_inference).
+
 ### Where to Go Next?
 
-* 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).
+* Understand the use cases for [multi-agent conversation](/docs/Use-Cases/agent_chat) and [enhanced LLM inference](/docs/Use-Cases/enhanced_inference).
+* Find [code examples](/docs/Examples/AutoGen-AgentChat).
 * Read [SDK](/docs/reference/agentchat/conversable_agent/).
 * Learn about [research](/docs/Research) around AutoGen.
 * Chat on [Discord](https://discord.gg/pAbnFJrkgZ).