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UID:pretalx-ai-heroes-2024-FCKZ73@papers.synesthesia.it
DTSTART;TZID=CET:20241211T143000
DTEND;TZID=CET:20241211T151500
DESCRIPTION:This talk will delve into the integration of Large Language Mod
 els (LLMs) using CrewAI\, an open-source software platform designed for or
 chestrating multiple AI agents. We'll cover the fundamentals of LLMs\, the
 ir integration challenges\, and how CrewAI enhances their collaborative ca
 pabilities. Key themes include inter-LLM communication\, dynamic task deco
 mposition\, adaptive learning\, and ethical considerations. Attendees will
  learn how and when to use CrewAI\, as well as how it compares to other mo
 dules. Through real-world examples\, this session will provide insights in
 to leveraging CrewAI to improve LLM efficiency and tackle complex problems
  across various industries.
DTSTAMP:20241209T105217Z
LOCATION:Auditorium
SUMMARY:Orchestrating LLM AI Agents with CrewAI - Alessandro Romano
URL:https://papers.synesthesia.it/ai-heroes-2024/talk/FCKZ73/
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