Mar 8, 2026 — 10 min — Platform & AI
Fine-Tuning LLMs Is an Operating Loop, Not a Training Command
Why LLM fine-tuning projects fail when teams jump to NeMo or Hugging Face training commands before deciding the model, data, evaluation, serving, and governance loop.
Outcome: Defined a fine-tuning operating loop that connects base-model choice, data curation, PEFT, evaluation, distributed training, serving, and governance into one repeatable release path.