Training a Large Language Model involves feeding it massive datasets text from books, code, and the web and adjusting its weights through machine learning. You’ll need powerful GPUs, tokenisation strategies, and safety alignment methods. While it's resource-heavy, it’s the foundation behind tools like ChatGPT and Gemini.