Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA

Google introduces a revolutionary methodology called Parameter-Efficient Reinforcement Learning (PERL) that uses the LoRA technique to refine models more efficiently, reducing computational and memory requirements. PERL achieves similar outcomes as traditional RLHF methods but with significantly improved parameter efficiency.