Hands-on masterclass to Build Custom GPT from Scratch Led by Sri Laxmi
Ever wondered what goes into building a GPT model - not just using one, but creating your own from scratch?
In this hands-on session, you’ll learn how to break down and build a lightweight, custom GPT that you can fine-tune for your specific needs - whether it’s summarising docs, generating content, or answering domain-specific queries.
You’ll explore:
What makes GPT models work: tokens, embeddings, and transformers
How to train a small-scale GPT model from scratch using open-source tools
How to fine-tune it for specific domains or use-cases
Best practices for dataset prep, model evaluation, and safe deployment
Plus, a live walkthrough and Q&A to help you get started building your own GPT-based applications.
Perfect for engineers, builders, and curious minds who want to move from prompt engineering to model building - with clarity, not complexity.



