Conversational Model

Conversational models aim to create AI systems capable of engaging in natural, coherent, and informative dialogue with humans. Current research focuses on improving aspects like real-time interaction (through end-to-end architectures and efficient inference strategies), knowledge grounding (leveraging external knowledge sources and addressing hallucination issues), and contextual understanding (managing conversation history and adapting to user styles). These advancements are significant for various applications, including customer service, healthcare, and information retrieval, by enabling more human-like and helpful interactions with AI.