Conversational LLM

Conversational LLMs are large language models designed to engage in multi-turn dialogues, aiming to improve the quality and efficiency of human-computer interaction. Current research focuses on optimizing token usage for cost-effectiveness, mitigating biases and harmful outputs, and enhancing the human-likeness of LLM-generated conversations through techniques like prompt engineering and knowledge injection. These advancements are crucial for developing safer and more reliable conversational AI systems with applications ranging from customer service and education to legal tech and mental health support.