DiagGPT is an innovative approach that extends the capabilities of traditional LLM-based conversational systems to handle more complex task-oriented dialogue scenarios. The key features of DiagGPT include:
Question Answering: DiagGPT retains the fundamental ability of LLMs to provide high-quality answers to various questions.
Task Guidance: The system is designed to guide users towards a specific goal and assist them in accomplishing the task throughout the dialogue progression.
Proactive Asking: DiagGPT has the ability to proactively pose questions based on a predefined checklist, thereby collecting necessary information from users.
Topic Management: The system is capable of automatically managing topics throughout the dialogue, tracking topic progression, and effectively engaging in discussions centered around the current topic.
Versatility: DiagGPT is directly based on LLMs and can perform well in various scenarios without requiring any training data, a capability that previous fine-tuning models lack.
High Extendibility: The system is designed with ample flexibility to incorporate additional functions to handle tasks in complex scenarios and to meet more needs of conversational systems.
By leveraging the strong knowledge and reasoning abilities of LLMs and incorporating interactive capabilities, DiagGPT can function as a more intelligent and professional chatbot, particularly well-suited for real-world consulting scenarios in flexible task-oriented dialogues.
לשפה אחרת
מתוכן המקור
arxiv.org
שאלות מעמיקות