Diana Artiom

Fine-Tuning Large Language Models in Practice

When prompt engineering isn't enough: a practitioner's guide to fine-tuning LLMs — dataset preparation, training cost trade-offs, evaluation strategies, and the cases where fine-tuning actually beats few-shot prompting.