The global prepreg market is undergoing a remarkable transformation, driven by the escalating demand for materials that ...

AppLovin’s Q4 revenue reached $1.37 billion, growing 44% year-over-year, with total adjusted EBITDA margins holding strong at ...

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...

Reinforcement learning has also had an unexpected impact on neuroscience. The neurotransmitter dopamine plays a key role in reward-driven behaviors in humans and animals.

Cycle syncing aligns a person's diet and exercise habits with their menstrual cycle. Learn what the research says and who it might benefit here.

More recently, reinforcement learning has been crucial to guiding the output of large language models (LLMs) and producing extraordinarily capable chatbot programs.

Deterministic networking (DetNet) offers guaranteed transmission services for critical real-time applications, such as industrial automation and intelligent transport systems. It is challenging to ...

Discover how OpenAI’s reinforcement fine-tuning is revolutionizing AI customization with advanced reasoning and adaptability techniques.

OpenAI’s Reinforcement Fine-Tuning (RFT) unlocks AI’s potential with data efficiency, performance optimization, and domain-specific reasoning.

Negative reinforcement encourages specific behaviors by removing or avoiding negative consequences or stimuli. It is not the same as punishment. Read more here.