Reinforcement Learning from Human Feedback (RLHF) has emerged as a crucial technique for enhancing the performance and alignment of AI systems, particularly large language models (LLMs). By ...

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

In a preprint study, researchers found that training a language model with human feedback teaches the model to generate incorrect responses that trick humans. Reading time 3 minutes One of the most ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Scientists at the University of California ...

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

Forbes contributors publish independent expert analyses and insights. Writing at the intersection of digital transformation, AI, and talent. Somewhere in the heart of every rapidly scaling industry ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.