Conversation Model

Conversation modeling aims to create AI systems capable of engaging in natural, coherent, and contextually relevant dialogues. Current research focuses on improving memory management within models, optimizing utterance length for efficient response generation, and leveraging hierarchical architectures (like local-global models) to better capture both immediate and broader conversational context. These advancements are improving the quality and efficiency of conversational AI, with applications ranging from educational tools to online community moderation and the creation of more engaging chatbots.