Sesame Chat AI App Employs Multi-Agent System for Enhanced Communication

Skillful Craftsman Education Technology (EDTK) has updated its AI-powered communication app, Sesame Chat, with a Multi-Agent System (MAS) architecture. The MAS consists of five AI agents: Style Profiler, Context Interpreter, Knowledge Specialist, Response Architect, and Quality Validator. Each agent uses neural networks and deep reinforcement learning to provide personalized communication recommendations, enhancing users' communication skills in various scenarios. EDTK aims to revolutionize the application of AI in communication skills development in the Chinese market.

Skillful Craftsman Education Technology (EDTK) has recently updated its AI-powered communication app, Sesame Chat, with an advanced Multi-Agent System (MAS) architecture. The new system, recently launched in mainland China, aims to revolutionize the application of AI in communication skills development.

The MAS architecture comprises five specialized AI agents: Style Profiler, Context Interpreter, Knowledge Specialist, Response Architect, and Quality Validator. Each agent employs dedicated neural networks and deep reinforcement learning to provide customized communication recommendations. The system dynamically activates different combinations of these agents based on user scenarios, ensuring context-perfect suggestions across dating, professional, and social interactions.

EDTK Chief Product Officer Ma Jie explained, "Our Multi-Agent System is equipped with specialized communications capabilities. Each user scenario dynamically activates different AI agent combinations - some analyze conversational styles, others decode emotional cues, while others craft responses - all resulting in a continuous optimization of communications approaches."

An illustration of the system's functionality is provided in a 'Compliment Scenario'. Here, five AI agents work together to configure and create more effective communications. The Style Profiler identifies the recipient's communication preferences, the Context Interpreter analyzes relationship history, the Knowledge Specialist retrieves relevant frameworks, the Response Architect generates tailored options, and the Quality Validator scores and presents the top responses to the user.

The integration of these agents ensures seamless collaboration and the delivery of natural, context-perfect suggestions. EDTK's commitment to innovation in educational technology and AI skills training is evident in this update, which aims to provide users with effective communication recommendations.

Skillful Craftsman Education Technology Limited is focused on advancing technological innovation in education through the digital transformation of educational institutions. Their intelligent learning platforms and teaching management systems help achieve more effective teaching and enhanced student outcomes.

For more information, please visit the Company’s website at edtk.ai.

References:

[1] https://www.stocktitan.net/news/EDTK/ai-multi-agent-system-transforms-communications-oxjo5yixyqto.html

[2] https://link.springer.com/chapter/10.1007/978-3-031-94600-4_9