The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

Beyond high performance, the RL framework’s main advantage lies in its real-time application potential. Once trained, the ...

The latest addition is the Phi-4 Reasoning — a 14 billion-parameter model built by applying a supervised fine-tuning (SFT) algorithm to the Phi-4 base model. The researchers also derived the Phi-4 ...

In this modern era, Reinforcement Learning (RL) has evolved from theoretical research to a transformative force driving significant changes in industrial applications. Debu Sinha, a recognized ...

An analysis by Epoch AI, a nonprofit AI research institute, suggests that the AI industry may not be able to eke massive ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves datacenter scheduling and chip ...

For organizations with clearly defined problems and verifiable answers, RFT offers a compelling way to align models.

“We’re proud to have built a scalable, intelligent solution that not only quantifies emissions but actively helps reduce them ...

Jakub Pachocki, who leads the firm’s development of advanced models, is excited to release an open version to researchers.

Explore how the Absolute Zero Reasoner redefines AI with self-driven learning, eliminating datasets and mastering complex ...

Alibaba Group has introduced ZeroSearch, an open-source reinforcement learning framework that simulates search engine ...