Workshop Agenda
01
Welcome and overview of the session
What makes GPT models powerful and how they work
What you’ll take away from this workshop
02
Key concepts: tokens, embeddings, transformers
Training vs fine-tuning: what's the difference
How GPT differs from traditional language models
03
04
05
01
Understand how GPT models work — from tokens to transformers
02
Learn the steps involved in building and training a custom language model
03
Get hands-on experience with text generation, decoding, and fine-tuning techniques
04
Explore practical challenges in deploying and scaling GPT models
05
Gain clarity on when to build vs. fine-tune vs. use APIs for your use case
Developers and engineers curious about how GPT models work under the hood
AI/ML enthusiasts eager to move from using models to building them
Founders, builders, and tinkerers exploring custom LLMs for their products or startups
Anyone who’s asked, “Can I actually build my own ChatGPT?” — and wants to find out how