Building Next-Gen LLM Application With Multi-Agent Collaboration

🤖🚀 Workshop Description:

Join us at the BAU Future AI Summit'24 for an immersive workshop on harnessing the power of intelligent LLM agents through multi-agent collaboration. In this session, we delve into the innovative realm of creating next-generation LLM applications that leverage the synergy of multiple agents to achieve unprecedented levels of performance and reliability.

💡 Workshop Objectives:

• Explore the conceptual framework of LLM-based agents, including their brain, perception, and action modules.
• Understand the role of multi-agent collaboration in enhancing the capabilities of LLM applications.
• Learn practical strategies for designing and implementing multi-agent systems tailored for specific tasks and applications.
• Discuss use cases and real-world applications of multi-agent LLM systems in various domains, from software development to scientific research.

🗓️ Workshop Agenda:

• Introduction to LLM-Based Agents: 

           - Definition and characteristics of agents in the context of AI

           - Overview of the brain, perception, and action modules in LLM-based agents. 

• Multi-Agent Collaboration Framework:

           - Abstraction of multi-agent systems for seamless user interaction.

           - Design principles for agent roles, plugin connections, and agent-agent interactions. 

• Feedback Mechanisms in Multi-Agent Systems:

           - Inter-agent feedback for continuous learning and improvement.

           - Self-feedback mechanisms for adaptive behavior and problem-solving. 

• Supervisor Agent and Task Management: 

           - Role of Supervisor Agent in monitoring and guiding main agents.

           - Mechanisms for efficient task management and error detection.

• Use Cases and Applications:

           - Auto-GPT: Autonomous task performance and plugin integration.

           - BabyAGI: Task prioritization and execution in multi-agent systems

           - Gorilla: Retrieval-based capabilities and adaptation to changes, and so on...

• Role-Based Multi-Agent Systems in Software Development:

           - User Experience Designer, Product Manager, and other roles in software development.

           - Integration of LLM-based agents for enhanced productivity and collaboration.

🛠️ Workshop Format:

 The workshop will feature a combination of presentations, interactive discussions, and hands-on exercises. Participants will have the opportunity to engage with experts in the field, share their insights, and gain practical knowledge for building next-gen LLM applications with multi-agent collaboration.

🙆🙋 Target Audience:

• AI researchers and practitioners
• Software developers and engineers
• Entrepreneurs and innovators
• Students and academics interested in AI and multi-agent systems