Autoregressive models

Stefano Ermon discusses adapting diffusion models to language and code generation. Topics include discrete token spaces, parallel token generation, Mercury 2, and trade-offs with autoregressive models. The conversation examines training, serving and post-training challenges, controllable generation and possible directions for multimodal diffusion systems.

Objective and quantitative assessment of the level of consciousness is a medical demand in clinics and a theoretical challenge to be addressed. Although a growing body of literature suggests different measures to distinguish the levels of consciousness, a systematic comparison of different measures is lacking. Such a systematic comparison, however, is necessary since it assures us of the best solutions to the problem in terms of prediction accuracy and explanatory power but also simplicity and applicability. In this study, we propose taking a massive comparative approach to assess the level of