In the vast landscape of artificial intelligence (AI) learning, one concept that's been gaining momentum is RAGs, or "Reward-Augmented Generative Models." While it may sound like a jargon-filled buzzword at first glance, RAGs hold immense potential in reshaping how AI systems learn and adapt in dynamic environments.At its core, RAGs combine two powerful components: generative models and reinforcement learning. Generative models, such as variation