diff --git a/docs/writing/posts/async.md b/docs/writing/posts/async.md
index 741b9240..ff2b9f95 100644
--- a/docs/writing/posts/async.md
+++ b/docs/writing/posts/async.md
@@ -12,7 +12,7 @@ authors:
   - jxnl
 ---
 
-# Introduction to Batch Processing using `asyncio` and `Instructor`
+# Batch Processing using `asyncio` and `Instructor`
 
 Today, I will introduce you to various approaches for using asyncio in Python. We will apply this to batch process data using `instructor` and learn how to use `asyncio.gather` and `asyncio.as_completed` for concurrent data processing. Additionally, we will explore how to limit the number of concurrent requests to a server using `asyncio.Semaphore`.
 
diff --git a/docs/writing/posts/caching.md b/docs/writing/posts/caching.md
index b011fbad..e31279bf 100644
--- a/docs/writing/posts/caching.md
+++ b/docs/writing/posts/caching.md
@@ -12,7 +12,7 @@ authors:
   - jxnl
 ---
 
-# Introduction to Caching in Python
+# Caching in Python
 
 > Instructor makes working with language models easy, but they are still computationally expensive.