LLM Configuration as an Agent - ft. Percy Chen
As an LLM-based co-pilot, Sherpa has been used actively in different channels in our community slack workspace. However, Sherpa so far has been handling only general purpose questions. What if Sherpa is not one, but a whole team of assistant agents that are configured on the fly and can work together? And what if you have the opportunity to easily customize Sherpa for yourself with different knowledge sources and actions?
In this demo, we will demonstrate Sherpa's ability to be configured for two very different tasks: natural language processing question answering and software modeling.
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Percy Chen (PhD Candidate @ McGill University)
Percy is a PhD student at McGill University. His research interests include model-driven software engineering, trustworthy AI, verification for ML systems, Graph Neural Networks, and Large Language Models. Percy leads R&D collaboration between McGill University and Aggregate Intellect.
WORKSHOP INFO
One day full of LLMs!
Fri Mar 1st, 9am - 5pm ET(times are in ET)