
LLM Reasoning and Test-Time Compute

AI Technical Lead, Georgian
Watch workshop sessions on-demand
LLM Reasoning and Test-Time Compute
About the Webinar
Please join us on February 19th at 12pm ET for an insightful session with Pashootan Vaezipoor, AI Tech Lead at Georgian, as he discusses the dawn of test-time compute and its implications for the AI industry.
✨ Train-time vs. test-time scaling
✨ Case study: DeepSeek as an example of test-time scaling
✨ Deep-dive into reasoning models
✨ A look to the future of the foundation models industry
About Pashootan
Pashootan Vaezipoor is a Technical Lead in the Georgian AI Lab. He holds a Ph.D. in Artificial Intelligence from the University of Toronto where he explored the intersection of symbolic AI and machine learning, with applications in areas such as reinforcement learning, planning and combinatorial problem-solving.
ABOUT THE ORGANIZERS
Georgian's Transferred Learnings
Georgian’s Transferred Learnings is a community of 1000+ machine learning scientists and engineers who are working on applied problems in the startup community. We run monthly sessions to explore applied AI techniques. Participants include members from across our network and our portfolio of companies.

Faq
No FAQs available at this time.
Terms and Conditions
*By registering for this event (the “Event”), you acknowledge and agree that you have read and will be bound by the Terms and Conditions referenced herein, and that your participation at the Event is in accordance with any applicable laws, regulations and rules, including but not limited to the laws, regulations and rules of the United States of America and Canada, and any applicable agreements, policies and procedures to which you are subject. You further acknowledge and agree that you have read and understood Georgian’s Privacy Policy. Should you have any questions or concerns with regards to Georgian’s privacy practices, please contact privacy@georgian.io*