This session, Amir will be talking about his system Sherpa. We will then have time for questions and time for a meet and greet. There will be coffee.
From Amir:
Building a multi-agent framework from scratch
In this talk, I'll share the motivation behind building Sherpa, an AI-augmented thinking companion designed to simplify the development of agentic solutions using Large Language Models (LLMs). Sherpa aims to assist founders, developers, and operators in augmenting and automating complex business workflows through multi-agent systems. As a configurable and versatile Python library, Sherpa facilitates the management of multi-agent LLM systems, enabling users to create applications in their niche domains. I'll delve into the design decisions, lessons learned, and how Sherpa integrates into real-world workflows, offering insights into its architecture and practical utility.
https://sherpa-ai.readthedocs.io/
Bio: Dr. Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect 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. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District and entrepreneur in residence at North Forge, and works with several startups as fractional chief AI officer. Amir engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs as well. Amir leads Aggregate Intellect’s R&D via several academic collaborations with McGill U., University of Toronto, and Alberta Machine Intelligence Institute.
