diff --git a/LecturesByDate.md b/LecturesByDate.md
index d9e35f3..85975cc 100755
--- a/LecturesByDate.md
+++ b/LecturesByDate.md
@@ -51,7 +51,8 @@ desc: "2024 Spring  UVa CS Machine Learning Lectures Organized by Given Order"
  <ul>
   {% if post.lecture %}
   <li><a href="{{ site.baseurl }}/Lectures/{{ post.lecture }}.pdf"  target="_blank">Lecture: 
-  {{ post.lecture }}</a></li>
+  {{ post.lecture }}</a>
+  </li>
   <li>Version: {{ post.lectureVersion }}</li>
   {% endif %}
 
@@ -79,15 +80,12 @@ desc: "2024 Spring  UVa CS Machine Learning Lectures Organized by Given Order"
 
 <br>
 
-
-  {% if post.lecture  %}
-    {% if post.lectureVersion contains 'current' %}
-
+<h3>Summary of Post :</h3>
+    {% if post.content contains '<!--excerpt.start-->'  %}
+      {{   post.content | split:'<!--excerpt.start-->' | first  }}
+    {% else %}
+      {{ post.content }}
     {% endif %}
-  {% endif %}
-
-    {{ post.content }}
-
 
   </div>
 <hr>
diff --git a/_contents/S0-L00-Intro.md b/_contents/S0-L00-Intro.md
index 1fc134a..ed7164d 100755
--- a/_contents/S0-L00-Intro.md
+++ b/_contents/S0-L00-Intro.md
@@ -36,3 +36,6 @@ categories:
 
 
 + A good code walk through on transformer at [URL](https://nlp.seas.harvard.edu/annotated-transformer/)
+
+<!--excerpt.start-->
+
diff --git a/_contents/S0-L01.md b/_contents/S0-L01.md
index a5117d8..9f9f4c8 100755
--- a/_contents/S0-L01.md
+++ b/_contents/S0-L01.md
@@ -38,3 +38,5 @@ categories:
 #### Generative AI: Perspectives from Stanford HAI
  + https://hai.stanford.edu/generative-ai-perspectives-stanford-hai 
 
+
+<!--excerpt.start-->
diff --git a/_contents/S0-L02.md b/_contents/S0-L02.md
index d435ef5..d61e43f 100755
--- a/_contents/S0-L02.md
+++ b/_contents/S0-L02.md
@@ -36,3 +36,6 @@ In this session, our readings cover:
 ### On the Opportunities and Risks of Foundation Models 
   +  https://arxiv.org/abs/2108.07258
   + " a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical principles(e.g., model architectures, training procedures, data, systems, security, evaluation, theory) to their applications (e.g., law, healthcare, education) and societal impact (e.g., inequity, misuse, economic and environmental impact, legal and ethical considerations)." 
+
+
+<!--excerpt.start-->