How to Train an LLM on Your Own Data: A Beginner's Fine-Tuning Guide
A practical, eval-first guide to choosing between prompting, retrieval, fine-tuning, continued pretraining, and training from scratch, with data formats, LoRA tooling, evaluation, deployment, and monitoring.