Event
How Much Energy Do Pruned LLMs Actually Save?
2026-07-13 ยท 5:30 PM
Spark Coworking St. Louis
Recording
About this event
As AI models continue to grow in size and capability, concerns about their computational cost and energy consumption have become increasingly important.
One popular approach to reducing these costs is pruning, a technique that removes less important components of a neural network to create smaller and potentially more efficient models.
Agenda
- Meet & Greet, networking, introductions
- Talk + Q&A
- Wrap-up
Speaker
Pranav Reddy Danda
Pranav Reddy Danda is a cybersecurity and AI engineer who recently completed an M.S. in Cybersecurity with an emphasis in Artificial Intelligence at Webster University, building on an undergraduate background in Electronics and Communication Engineering. His work sits at the intersection of machine learning and security, with a focus on the energy efficiency of large language models.
Event photos
