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Learn how to build your own custom LLM, fine-tune it on accessible hardware, and create a specialized "Mini-ChatGPT" for niche tasks in this hands-on session.
Day
17th May
Time
11:00 am
Duration
60 Mins
Argha Mukherjee
Principal Architect – AI & Data Science
Principal Architect – AI & Data Science
Argha Mukherjee is a Principal Architect in AI & Data Science and a Doctoral Researcher in AI & Cybersecurity. With 7+ years of experience across healthcare, e-commerce, and tech, he’s led cutting-edge AI projects at companies like Amazon, CitiusTech, and Razor Group. He specializes in MLOps, NLP, and scalable AI systems, and is passionate about bridging research with real-world applications.
Agenda of the session
Why Build a Custom LLM?
Open-Source LLM Toolkit
Fine-Tuning with LoRA/QLoRA
Live Demo: Fine-Tuning a Model
Your Path to Custom LLMs