AI 导读
Elvis Saravia 强调模型-harness 协同优化:先为任务设计 harness,再在其中调优模型,并称 harness 工程是真正关键所在。他提到已追踪多篇论文证明该思路极其有效且存在多种变体,其中 Harvey 探索的 RLM 能以有趣方式扩展规模。
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://t.co/nOPcXIbgJr
来源:@omarsar0 · x.com