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How to Choose the Right Multi-Agent Framework

Hosted by Amir Feizpour

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What you'll learn

Why multi-agent Frameworks

What the more promising frameworks are

The framework that is the one for your use case

Why this topic matters

LLaMA-Agents are designed for lightweight, efficient multi-agent systems, LangGraph excels at creating complex, interconnected systems with advanced reasoning capabilities, and AutoGen is ideal for automating complex tasks with minimal human input. How do you choose the right one, and do you even need one?

You'll learn from

Amir Feizpour

Founder, CEO & Chief Scientist at Aggregate Intellect

Amir Feizpour is the founder of Aggregate Intellect (https://ai.science/), building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto.

Previously at

University of Toronto
University of Oxford
RBC
aggregate intellect

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