This session introduces the operational lifecycle of Large Language Models (LLMs), focusing on how to deploy, monitor, and maintain AI solutions in real-world business environments. Participants will gain a basic overview of LLMOps principles and tools, including architecture, monitoring, CI/CD pipelines, and governance strategies.
Agenda for the session
- Understand LLMOps fundamentals and its role in enterprise AI
- Learn best practices for deploying, monitoring, and using LLM apps
- Explore LLMOps architecture and CI/CD basics for AI solutions
- Review real-world business use cases of LLMOps in action
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.
