1、AutomotiveAIAgentProductDevelopmentandCommercializationResearchReport,2024A Automotive AI Agent product development:How to enable“cockpit endorser”viafoundation models?According to OPEN AIs taxonomy of AI(a total of 5 levels),AI Agent is at L3 in the AI development path:Limited by interaction modes

2、and tool usage capabilities,popular foundation models in 2023 can only reach L2(Reasoners)at most.In contrast,developingthe automotive AI system by building automotive agents is a more appropriate goal:Agent improves weak links of application of foundation models inscenarios by way of calling active

3、 intelligent features and multiple tools/foundation models,further improving cockpit intelligence Agent is the endorser of emotional cockpitsEmotional cockpit has been nothing new formultiple years,but actually realizing it still starts withthe introduction of foundation models in vehicles.Under spe

4、cific triggering conditions,voice assistantchats with the user through preset emotional corpus,but it cannot adapt to human dialogue logic in realchat scenarios.After being applied to vehicles,Agent integrated with multiple foundation modelbasescanrecognizetheenvironmentmoreaccurately,and more tool

5、library interfaces furtherenhances its generalization capability to cope withchat and Q&A in diversified scenarios,truly realizingthe warm companionship of the cockpit Agent Emotion Technology/Products of Some OEMs and Tier1sThedesignofmainstreamemotionalinteraction scenarios focuses on emotionrecog

6、nition,user memory,and behaviorarrangement.Some OEMs and Tier1s havealso launched technologies or products toenhance the emotional value of Agents: Steps to Build Xiaoai Tongxues Emotional Dialogue SystemFor example,Xiaoai Tongxues emotional dialogue system is built in three steps: The mixed strateg