LLM Based Conversational

Large language model (LLM)-based conversational agents are transforming human-computer interaction, aiming to create more natural and helpful dialogue systems across various applications. Current research focuses on improving agent performance through techniques like multi-level LLM architectures (combining specialized models for efficiency) and incorporating personalized personas to enhance user engagement and satisfaction. These advancements are impacting diverse fields, from e-commerce and healthcare to code understanding, by providing more efficient and user-friendly interfaces for complex tasks. A key challenge remains ensuring responsible development, addressing privacy concerns and mitigating potential biases inherent in the models.