AI researchers call these yes-man antics "sycophancy," which means (like the non-AI meaning of the word) flattering users by telling them what they want to hear. Although since AI models lack ...

Discover how Deepseek R2 is redefining AI with self-learning and advanced evaluation systems like GRM. The future of AI ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

The paper's author, Ashish Reddy Kumbham, presents an innovative system that moves beyond traditional defense mechanisms. In ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

The digital era has witnessed unprecedented technological advancements, with artificial intelligence emerging as one of the ...

New research reveals that serotonin plays a key role in how the brain predicts future rewards, shedding light on its puzzling activity in response to both pleasure and pain.

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...

Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...