#training

Design an LLM Fine-Tuning Platform

Turn a base model and a dataset into a deployed fine-tuned adapter at scale — the end-to-end platform covering dataset ingestion, LoRA/QLoRA/DPO training, fault-tolerant distributed GPU scheduling, eval gating, and multi-LoRA serving for hundreds of concurrent fine-tunes.