AI agents are a fast-developing domain that leverages Large Language Models (LLMs) to autonomously perform and refine tasks, mirroring human-like efficiency and adaptability. Within the AI agent domain, multi-agent collaboration has been promising domain in recent research to solve complex tasks through multiple AI agents collaboration or debating. The talk will cover most recent research conducted in fields like finance, software and medicine and understand how multi-agent frameworks can help complete complex tasks, 

This session explores the critical importance of model selection and provides actionable steps for businesses to enhance their Generative AI efforts:

• Evaluating the specific requirements and constraints of each application to determine the most suitable model.

• Considering factors such as model complexity, data availability, and computational resources when making choices.

• Continuously monitoring model performance and adapting model selection strategies as AI technologies evolve.