From LLMs to LRMs - The Rise of Reasoning Models

Explore the evolution from Large Language Models to Large Reasoning Models in this comprehensive colloquium lecture that examines the transformative shift in machine learning paradigms. Delve into how LLMs surprised experts with their emergent behaviors when they became dominant in 2002, demonstrating capabilities that smaller, identically-trained models could not achieve. Understand the empirical scaling laws that initially predicted model improvements with increased size, training data, and compute power, and discover how these laws began to saturate, leading to a new scaling regime. Learn about the ongoing transition to Large Reasoning Models that utilize additional computational resources during inference to simulate thinking and reasoning processes by exploring multiple solution pathways before providing answers. Gain insights into this cutting-edge development in artificial intelligence that represents a fundamental shift in how models approach problem-solving and decision-making.