The Forttuna Councils, a flagship initiative of The Forttuna Group, is a global leadership ecosystem dedicated to convening ...

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

Cognitive warfare is less about controlling territory and more about shaping perception. The objective is to gain an information advantage that translates into a decision advantage, influencing how ...

This study aimed to evaluate a multidisciplinary rehabilitation program based on the information–motivation–behavioral skills (IMB) model principles and its association with self-efficacy, functional ...

In this post, we share the motivations, design choices, experiments, and learnings that informed its development, as well as an evaluation of the model’s performance and guidance on how to use it. Our ...

The professional dog training field sits at the intersection of applied behavioral science, ethics, and lived experience. Despite its significant animal welfare implications, it remains largely ...

I've often wondered if the way in which individuals view and treat their own and other dogs is related to how they view animal-human relationships in general. Based on discussions with many people, I ...

DeepSeek introduced Manifold-Constrained Hyper-Connections (mHC) to improve large-model training scalability and efficiency. The mHC method was tested on 3B, 9B, and 27B parameter models, showing ...

According to @_igorshilov, recent research from the Anthropic Fellows Program demonstrates a novel approach to AI model training that isolates high-risk capabilities within a small, distinct set of ...