In this session, we will explore the concept of Agents, their significance in overcoming LLM limitations, and real-world use cases. You’ll also gain insights into function calling and learn to build a simple agentic workflow through a hands-on case study.
Agenda for the session
- Introduction to Agents and their importance
- Discussion on LLM limitations and how Agents address them
- Examples of agent use cases, like LinkedIn hiring agents
- Hands-on case study to build an agentic workflow
About Speakers
Mr. Anuj Saini
AI Research Scholar, Universite de Montreal
Anuj Saini is an NLP and Generative AI expert specializing in Large Language Models (LLMs) and advanced AI applications. With experience across e-commerce, investment banking, and insurance, he excels in developing AI-driven chatbots, recommender systems, and sentiment analysis solutions. Proficient in cutting-edge technologies like ChatGPT, LangChain, and HuggingFace, Anuj is a leader in building innovative, LLM-powered applications.