Dialogue system design and application value
CogVLM2's multi-round dialog feature is realized based on an innovative dialog state tracking mechanism, which can maintain a dialog history memory of up to 8K tokens. This capability makes CogVLM2 especially suitable for complex interaction scenarios that require continuous understanding of context, such as education, Q&A, technical support and other service-oriented dialog systems. Dialogue sessions can be initialized through the start_conversation interface, and subsequent continuous interaction can be carried out through the ask method.
Compared with single-round Q&A, CogVLM2 shows three unique advantages in multi-round conversations: 1) accurate disambiguation ability, which can correctly understand the objects referred to by pronouns; 2) contextual correlation analysis, which can give a coherent answer by combining with the content of the previous dialog; and 3) proactive clarification mechanism, which can ask a precise follow-up question when there is insufficient information. These features make its performance in real dialogs close to the level of human professional customer service.
This answer comes from the articleCogVLM2: Open Source Multimodal Modeling with Support for Video Comprehension and Multi-Round DialogueThe
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