Multi Step Computation

Multi-step computation focuses on enabling artificial intelligence systems to solve complex problems requiring a sequence of intermediate calculations. Current research explores methods like specialized algorithms (e.g., for robotic footstep planning) and the adaptation of large language models (LLMs) to perform multi-step analytical calculations, often aided by techniques such as "scratchpads" to manage intermediate results. These advancements are significant because they improve the ability of AI to tackle intricate scientific and engineering challenges, potentially accelerating research in fields like quantum physics and robotics through automated hypothesis testing and real-time control.