为什么AI多轮对话总是那么傻？

Core Insights - The article discusses the challenges of multi-turn conversations in AI applications, emphasizing that current models struggle with maintaining context and coherence over extended dialogues [3][5][6] - It highlights the necessity of designing Standard Operating Procedures (SOPs) to improve multi-turn dialogue experiences, focusing on goal-oriented interactions [10][12][48] Group 1: Challenges in Multi-Turn Conversations - Multi-turn dialogue is complex due to the tendency of users to open new windows for new questions, reflecting a lack of trust in the model's capabilities [4] - The forgetting rate of key information in AI models increases significantly with the number of dialogue turns, with a 37% information loss after 7 turns and 68% after 12 turns [5][6] - The use of pronouns in conversations complicates AI interactions, as models may misassociate these terms, requiring users to provide additional context [7] Group 2: Importance of SOP Design - Effective multi-turn dialogue requires clear goal setting and task design, which can be achieved through SOPs [10][12] - A well-structured SOP can prevent application failures and ensure that the AI model provides relevant and coherent responses [12][48] - The article suggests that AI should have specific objectives to enhance the quality of interactions, making conversations more engaging and meaningful [20][48] Group 3: User Behavior and Expectations - Users often prefer concise answers, while others may seek more exploratory responses, creating challenges for AI in meeting diverse expectations [9] - The article warns against the misconception that AI can seamlessly handle multi-turn dialogues without proper design and structure [9][48] - It emphasizes the need for AI to adopt a more human-like approach in conversations, which can be achieved by embedding goals and emotional context into interactions [48][49]