LLM Development & Training - The report introduces a method to build a modern LLM from scratch using Karpathy's nanochat, emphasizing its clean, minimal, and hackable codebase [1] - The process involves training a tokenizer, pre-training for next-word prediction, mid-training for conversational abilities, and SFT (fine-tuning) on high-quality dialogue datasets [1] - Evaluation and logging are integral to every step of the LLM development process [1] Implementation & Accessibility - The method can be reproduced with a single click on a LightningAI studio, requiring zero setup [1]