Republished with permission by Devansh, writer of AI Made Simple. Fine-tuning large language models (LLMs) is frequently sold as a quick, powerful method for injecting new knowledge. On the surface, it makes intuitive sense: feed new data into an already powerful model, tweak its weights, and improve performance on targeted tasks. But this logic breaks down for advanced models, and badly so.