Merge branch 'rawan-events'

create-se4ai · Oct 2, 2024 · 7a816f5 · 7a816f5
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diff --git a/blog/2022-09-21-past/index.md b/blog/2022-09-21-past/index.md
@@ -10,11 +10,11 @@ position: 2
 #tags: [past events, news, webinars, trainee talks]
 ---
 # Past Events 
-      
+        
 
 import Trainee_Talks_July19 from './Trainee_Talks_July19.jpg'
 
-
+  
 <div class="container2">
 <h4>CREATE SE4AI Trainee Talks Summer 2024 Edition</h4>
 <div className="events" style={{ 

diff --git a/blog/2022-09-21-upcoming/event/Trainee_Talks_Oct16th_2024.md b/blog/2022-09-21-upcoming/event/Trainee_Talks_Oct16th_2024.md
@@ -7,12 +7,21 @@ import Trainee_Talks_Oct16_2024 from '../Trainee_Talks_Oct16_2024.jpg';
 
 <p class="Trainee_Talks_Oct16_2024" ><img src={Trainee_Talks_Oct16_2024}/></p>
 
-Join us for the first CREATE SE4AI Trainee Talks of the fall 2024 semester!  In this edition, Master's candidate Lin Ling will present her work titled "Bias Unveiled: Investigating Social Bias in LLM-Generated Code". Immediately following, Junjie Li, Doctoral candidate, will share his research on "An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation". Both students are supervised by Prof. Jinqiu Yang at Concordia University.
+Join us for the first CREATE SE4AI Trainee Talks of the fall 2024 semester!  In this edition, Master's candidate Lin Ling will present her work titled <strong>"Bias Unveiled: Investigating Social Bias in LLM-Generated Code". </strong> 
+<p>Immediately following, Junjie Li, Doctoral candidate, will share his research on <strong> "An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation"</strong>. Both students are supervised by Prof. Jinqiu Yang at Concordia University. Each trainee will talk for 20 mins, followed by a 10 min Q&A session. </p>
+
+For the first time, this event will be offered both in-person and online.  Local (Montreal) students are encouraged to join in person in **Room ER-1222.** Please arrive a few minutes before 10:00 so we can start on time.
+
+
+**For more details and to register, go to our Eventbrite page**: [https://www.eventbrite.ca/e/1005450558687?aff=oddtdtcreator](https://www.eventbrite.ca/e/1005450558687?aff=oddtdtcreator)
+
+Join the presentation in person: **Concordia University, 2155 Guy Street (ER Building) 12th floor Room 1222.**
+
+**Meeting ID:**  850 1019 0247
+
+**Passcode:**  134076
+
 
-This webinar will be offered in a hybrid format so trainees may attend in person or online via Zoom.  More details coming soon!
-[https://www.eventbrite.ca/e/social-bias-in-llm-generated-code-fine-tuning-llms-tickets-1005450558687](https://www.eventbrite.ca/e/social-bias-in-llm-generated-code-fine-tuning-llms-tickets-1005450558687)
 
-**Date:** Wednesday, October 16, 2024
 
-**Time:** 10:00 AM
 
diff --git a/blog/2022-09-21-upcoming/index.md b/blog/2022-09-21-upcoming/index.md
@@ -21,7 +21,8 @@ import Trainee_Talks_Oct16_2024 from './Trainee_Talks_Oct16_2024.jpg';
 <img src={Trainee_Talks_Oct16_2024}/>
 </div>
 <div class="text"> 
-Join us for the first CREATE SE4AI Trainee Talks of the fall 2024 semester!  In this edition, Master's candidate Lin Ling will present her work titled "Bias Unveiled: Investigating Social Bias in LLM-Generated Code". Immediately following, Junjie Li, Doctoral candidate, will share his research on "An Exploratory Study on 
+Join us for the first CREATE SE4AI Trainee Talks of the fall 2024 semester!  In this edition, Master's candidate Lin Ling will present her work titled <strong>"Bias Unveiled: Investigating Social Bias in LLM-Generated Code". </strong>
+ Immediately following, Junjie Li, Doctoral candidate, will share his research on <strong>"An Exploratory Study on </strong>
 <a href="/blog/2022/09/21/upcoming/event/Trainee_Talks_Oct16th_2024"> <strong>Read More</strong></a>
 </div>
 </div>  </div>