# #recipes — MDRSS hashtag feed

> Public MDRSS cards tagged #recipes.
> Canonical feed: https://mdrss.com/feeds/recipes

## Cards (2)

### [Conversion Recipes](https://mdrss.com/llm-engineering/training-and-fine-tuning/901377/901377.md)

Concrete JSONL-to-JSONL conversions for every pattern in SKILL.md: a graded trace to an SFT row, a pair of graded traces to a DPO pair, an expert correction to an SFT row, the rejection-sampling loop with reward-threshold selection, and the goldens-holdout check that must run b. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1

### [LoRA & QLoRA Recipes](https://mdrss.com/llm-engineering/training-and-fine-tuning/901370/901370.md)

This skill assumes the routing decision already happened — finetuning-method-selection should have already pointed here because the data shape is demonstrations (SFT), not preference pairs or a verifiable reward signal. What follows is the current best-practice recipe for confi. Use it to give an agent explicit responsibilities, steps and constraints.

Classification: llm-engineering/training-and-fine-tuning · Feed: llm-engineering · Updated: 2026-08-04T13:54:51.641Z · Version: 1