Llama Two leverages a two-stage reinforcement learning process, incorporating rejection sampling and proximal policy optimization to enhance its generative capabilities. The innovative ghost attention mechanism allows for improved context retention in multi-turn conversations, enabling fun interactions like responding solely in emojis. With an impressive investment of $25 million and rigorous safety testing, Llama Two demonstrates superior performance in AI safety compared to other open-source models, potentially rivaling commercial counterparts.
