Human-Plus Outputs
Discusses how emergent capabilities in AI systems lead to outputs that surpass human expert performance.
Jason Wei, Yi Tay, Rishi Bommasani, et al. • 2022
We investigate the emergence of abilities in language models, finding that certain complex reasoning capabilities appear suddenly at specific model scales rather than gradually improving. This suggests fundamental phase transitions in AI capabilities that could lead to rapid improvements in performance across many domains.
Discusses how emergent capabilities in AI systems lead to outputs that surpass human expert performance.
Explains how effective prompting becomes crucial for unlocking emergent reasoning abilities in AI systems.