The most efficient way to fine-tune an LLM in 2024, given budget constraints, is to use QLoRA with Axolotl on services like runpod, using GPUs such as a single A100/H100 or multiple RTX3090s. Start with a smaller model to prove hypotheses, then use techniques like DPO or KTO to polish, and consider applying grammars for structured results.