Optimizing AI for the Real World: Faster and Carefree
DescriptionImagine if AI could not only think, but also react to tasks more quickly without compromising on quality—what could that mean for the future of technology? This session introduces speculative sampling, a method that can potentially lead to more efficient and effortless AI systems. We'll examine its integration with the ReAct paradigm, a prompting paradigm designed to solve real-world problems. Our research suggests that by using speculative sampling, AI can work faster—up to 2.62 times quicker—while still maintaining its sharp reasoning skills.
Event Type
Lightning Talk
TimeFriday, September 20th1:30pm - 1:45pm PDT