Overview
Detail of the Workshop:
This interactive hands-on workshop will introduce participants to the emerging field of NeuroSymbolic Al approaches for building trustworthy generative Al systems. The workshop will start with a basic introduction to large language models (LLMs) and their capabilities and limitations. Understanding the in-depth working of generative Al models will lay the foundation for exploring various techniques to enhance their trustworthiness. This will be followed by creating real-life scenarios to implement methods that enhance consistency, reliability, explainability, and safety in generative Al systems. These exercises are targeted to empower practitioners to develop generative Al systems that align with human values and can be deployed in critical applications such as healthcare, legal systems, and mental health.
Registration Link:
Registration Link: https://forms.gle/QtLWe4Sx3DgweV998
Building,_Trustworthy_Generative_AI_Systems_brochure_final.pdf
Objectives of Event
Objectives:
· To explore the introduction of Large Language Models
· Tounderstand the in-depth working of generative Al Models and Explainable AI Fundamentals
· To understand the Ensemble Approaches, Knowledge-Infused Learning, Biases and Fairness
· To understand Knowledge Graphs and Symbolic Reasoning
Co-ordinators:
Prof. Dr. Sanju Tiwari 7985491806 sanju.tiwari@sharda.ac.in
(Professor SSCSE & Member CAIMIF)
Speaker Details:
- Dr. Manas Gaur, Assistant Professor, Computer Science & Engineering (CSE) University of Maryland, Baltimore County, USA Email id: manas@umbc.edu
