For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...

Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...

We recently showed that improved perceptual performance on a visual motion direction–discrimination task corresponds to changes in how an unmodified sensory representation in the brain is interpreted ...

With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run ...

Thinking Machines Lab, led by a group of prominent former OpenAI researchers, is betting that fine-tuning cutting-edge models ...

Whether you like theoretical study or want to get your hands dirty, plenty of reinforcement learning resources are out there. When I was in graduate school in the 1990s, one of my favorite classes was ...

Featuring AI-powered role-play simulations, the app allows learners to practise recognising distress and offering empathetic ...