A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Specialty hospitalists evolving model addresses complexity and volume challenges in BayCare Health System and other U.S.

Put rules at the capability boundary: Use policy engines, identity systems, and tool permissions to determine what the agent ...

Abstract: Diffusion models are a class of generative model that excels in generating high-quality images, making them the state-of-the-art among other generative models. Their impressive image ...

This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository for the latest updates and to ...

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...