MIT Math Breakthrough Makes AI Code Dramatically More Efficient
MIT researchers have developed a probabilistic framework that could fundamentally alter the economics of AI code generation, potentially challenging the assumption that bigger models automatically deliver better results. The innovation, leveraging sequential Monte Carlo (SMC) techniques, offers a path for smaller language models (LLMs) to outperform specialized commercial systems more than twice their size, as … Read more