# 模型-框架协同优化为何是关键

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-10 04:55
- AIHOT 分数：38
- AIHOT 链接：https://aihot.news/items/cmtuledox1hhkrofp7wkugx78
- 原文链接：https://x.com/omarsar0/status/2097790938911498494

## AI 摘要

Elvis Saravia 强调模型-框架协同优化（model-harness co-optimization）是设计框架后在其中调优模型，并称框架工程（harness engineering）是解锁潜力的关键。他追踪多篇论文证明其有效性，并提及 Harvey 探索的 RLMs 提供了有趣的扩展方式。相关论文合集已发布在 DAIR.AI Academy。

## 正文

Highly recommended. Model-harness co-optimization is where you design the harness for the task and then tune the model inside the harness.

A clear example of why you want to own the harness and the models. Harness engineering is the real deal. So much to unlock.

I have been tracking a bunch of papers showing how extremely effective this is. And there are many variants. Harvey explores RLMs, which somehow enable interesting ways to scale things.

A few links here already: https://academy.dair.ai/papers/collections/harness-engineering

### 引用推文

> Niko：https://x.com/i/article/2097344107303825408