Alessandro Romano
Alessandro is a highly experienced data scientist with a Bachelor’s degree in computer science and a Master’s in data science. He has collaborated with a variety of companies and organizations and currently holds the role of senior data scientist at logistics giant Kuehne+Nagel. Alessandro is particularly passionate about statistics and digital experimentation and has a strong track record of applying these skills to solve complex problems. He shares his knowledge regularly, speaking at events like the Data Innovation Summit and ODSC.
Senior Data Scientist
Your company –Kuhene+Nagel
Session
This talk will delve into the integration of Large Language Models (LLMs) using CrewAI, an open-source software platform designed for orchestrating multiple AI agents. We'll cover the fundamentals of LLMs, their integration challenges, and how CrewAI enhances their collaborative capabilities. Key themes include inter-LLM communication, dynamic task decomposition, adaptive learning, and ethical considerations. Attendees will learn how and when to use CrewAI, as well as how it compares to other modules. Through real-world examples, this session will provide insights into leveraging CrewAI to improve LLM efficiency and tackle complex problems across various industries.