Beyond LLMs: Advancing the Landscape of Complex Reasoning

Since the advent of Large Language Models a few years ago, they have often been considered the de facto solution for many AI problems. However, in addition to the many deficiencies of LLMs that prevent them from broad industry adoption, such as reliability, cost, and speed, there is a whole class of common real world problems that Large Language Models perform poorly on, namely, constraint satisfaction and optimization problems. These problems are ubiquitous and current solutions are highly specialized and …

adoption ai problems beyond class cost cs.ai cs.cl industry landscape language language models large language large language models llms reasoning reliability solution speed them