Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...

Superiorstar Prosperity Group has announced the integration of machine learning technologies with quantitative research ...

In today’s digital age, learning has gone through a profound transformation, reshaping traditional educational models. Technology’s omnipresence has brought forth a new era of accessibility, ...