Improving Intent Detection in AI Interview Coach
分析
The article discusses challenges and seeks advice on enhancing the accuracy of intent detection for an AI interview coach, focusing on differentiating between resume-specific and performance-specific questions.
关键要点
- •Context Injection vs. Hard Routing debate for complex questions.
- •Alternative methods to Cosine Similarity for better intent detection accuracy.
- •Handling multi-turn conversations where user's intent changes.
引用 / 来源
查看原文""Once the intent is detected, I build an Execution Plan that toggles use_rag (Resume data) or use_verdict (Interview report). However, I’m seeing some 'intent bleed' where a user asks something like 'How can I improve my technical answer?' and the system struggles to decide whether to pull from the Resume (technical skills) or the Verdict (how they actually performed).""