Sublime

The text outlines foundational concepts of large language models, focusing on pre-training methods, model architectures, generative models, prompting strategies, and alignment techniques in natural language processing.

The chapter explores methods for identifying skilled forecasters in crowd prediction, classifying skill correlates, and analyzing their effectiveness in improving aggregate forecasting accuracy.