Join us for a hands-on session exploring the world of AI and Large Language Models (LLMs). We'll cover key concepts like training vs inference, prompt engineering, fine-tuning, and LLM workflows. Learn how models understand language, reason through prompts (zero-shot, few-shot, chain of thought), and power real-world applications. We'll also touch on multimodal AI, practical challenges, and the future of AI—plus a live demo!
Agenda
- Introduction
- Training vs Inference
- How Large Language Models are built and how they are trained and refined to give user friendly responses.
- Prompt Engineering fundamentals
- Overview of AI workflows and agents , what is MCP and future trends and how they can catch up with them.
- Demo
- Q&A
Presenter: Anukool Chaturvedi
He is working as a Sr. Machine Learning Engineer at Avalara, He loves to explore, learn and build user centric solutions with latest technologies incorporating AI, He also write Technical blogs, write on Linkedin frequently on various AI topics and an active contributor to various open source projects , He created mlguide.in, a free open learning platform to help beginners get started with Machine Learning. He also built RiteUp, an AI agent that researches and generates customizable content drafts. Most recently, he’s actively working on MCPWire, a client for connecting to local or remote MCP servers
In his free time, he love reading books on biographies, businesses and history.
He can be reached at -
Linkedin: https://in.linkedin.com/in/anukool-chaturvedi
Note : The speakers' views are their own and do not represent Avalara. This session is intended for educational purposes only and does not constitute specific advice or endorsement from Avalara or its organiser ! Additionally This meet-up event does not include any Avalara specific contents.
