A Guide To Reinforcement Finetuning - Data Intelligence

A Guide To Reinforcement Finetuning - Data Intelligence

Reinforcement finetuning has shaken up AI development by teaching models to adjust based on human feedback. It blends supervised learning foundations with reward-based updates to make them safer, more accurate, and genuinely helpful. Rather than leaving models to guess optimal outputs, we guide the learning process with carefully designed reward signals, ensuring AI behaviors align with real-world needs. In this article, we’ll break down how rei…