Join this hands-on session to learn how to build a large language model (LLM) from scratch using PyTorch. Designed for developers with some knowledge of Python and a basic understanding of deep learning, this workshop offers a deep dive into constructing a ChatGPT-like model. Participants will explore key steps including data preprocessing, implementing attention mechanisms, understanding transformer architectures, and performing both pretraining and fine-tuning. By the end of the session, attendees will have the practical skills to develop and customize LLMs for various applications, from text generation to classification. This session is ideal for those eager to understand the mechanics of LLMs and apply that knowledge to real-world projects.