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.
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 ...
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 ...
A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains 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 ...
By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...
Having spent the last two years building generative AI (GenAI) products for finance, I've noticed that AI teams often struggle to filter useful feedback from users to improve AI responses.
In a recent study published in Nature Human Behaviour, researchers investigated the causal contribution of specific oscillatory activity patterns within the human striatum to reinforcement motor ...
Mohammad Omar is cofounder and CEO at LXT, an emerging leader in global AI training data that powers intelligent technology. AI has always been largely about recognition. In short, AI is the ability ...
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