compiler-research · vgvassilev · Jun 11, 2025 · Jun 10, 2025 · Jun 10, 2025 · Jun 11, 2025
diff --git a/.github/actions/spelling/allow/terms.txt b/.github/actions/spelling/allow/terms.txt
@@ -1,5 +1,6 @@
 AARCH
 AIML
+Backpropagation
 BGZF
 CINT
 CMSSW

diff --git a/_data/standing_meetings.yml b/_data/standing_meetings.yml
@@ -3,6 +3,10 @@
   time_cest: "17:00"
   connect: "[Link to zoom](https://princeton.zoom.us/j/97915651167?pwd=MXJ1T2lhc3Z5QWlYbUFnMTZYQlNRdz09)"
   agenda:
+    - title: "Enhancing LLM Training Efficiency with Clad for Backpropagation"
+      date: 2025-06-05 15:00:00 +0200
+      speaker: "Rohan Timmaraju"
+      link: "[Slides](/assets/presentations/CaaS_Weekly_05_06_2025_Rohan_Timmaraju_LLM_Training.pdf)"
     - title: "Improve automatic differentiation of object-oriented paradigms using Clad"
       date: 2025-06-05 16:00:00 +0200
       speaker: "Petro Zarytskyi"

diff --git a/_posts/2025-05-21-enhancing-llm-training.md b/_posts/2025-05-21-enhancing-llm-training.md
@@ -43,7 +43,6 @@ By successfully integrating Clad into a C++ LLM training pipeline, we aim to:
 * **Offer a C++ Alternative:** Provide a foundation for more efficient, compiler-driven LLM training within the C++ ecosystems.
 * **Learn and Share:** Gain insights into the practicalities of applying compiler-based AD to complex ML problems and share these learnings with the community.
 
-I believe this project has the potential to make a valuable contribution to both the compiler research field and the ongoing efforts to make powerful AI models more accessible and efficient to train.
 
 ### Related Links
 

diff --git a/assets/presentations/CaaS_Weekly_05_06_2025_Rohan_Timmaraju_LLM_Training.pdf b/assets/presentations/CaaS_Weekly_05_06_2025_Rohan_Timmaraju_LLM_Training.pdf
-Original file line number
+Diff line change
@@ -1,5 +1,6 @@
     AARCH
     AIML
+    Backpropagation
     BGZF
     CINT
     CMSSW
@@ Expand Down @@