Artificial intelligence has made significant strides in recent years, thanks to the development of large language models (LLMs) and techniques like reinforcement learning from human feedback (RLHF). However, optimizing the learning process of LLMs through human feedback remains a challenge.
Traditionally, training LLMs involved passive exploration, where models generated responses based on predefined prompts without actively seeking to improve based on feedback.… Read the rest