2024-12-11 –, Auditorium
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.
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.