Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize some notion of cumulative reward. Unlike supervised learning, where the model learns from labeled data, RL…
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is a method in natural language processing that enhances the generation of text by dynamically retrieving and incorporating relevant information from a large database or document collection during the generation process. This approach combines the capabilities of…