PulseAugur
中
实时 17:41:51
English(EN) Github repo to learn the OPD/OPSD and how they perform compared to GRPO, on a consumer grade GPU [P]

Reddit用户寻求消费级GPU上OPD/OPSD与GRPO算法的实现

作者 PulseAugur 编辑部 · [1 个来源] ·

Reddit的r/MachineLearning板块的一位用户正在寻找学习On Policy Distillation (OPD)和On Policy Self Distillation (OPSD)算法的资源。他们特别关注这些方法与GRPO的对比，并正在寻找可以在Nvidia RTX 4090或5090等消费级GPU上运行的GitHub仓库或关于合适SLM和数据集的指导。 AI

排序理由 这是Reddit上的用户查询，寻求信息，而非新闻事件。

在 r/MachineLearning 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Reddit用户寻求消费级GPU上OPD/OPSD与GRPO算法的实现

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Meme
这是Reddit上的用户查询，寻求信息，而非新闻事件。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
68 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/LatentBotNet ·

    Github 仓库用于学习 OPD/OPSD 以及它们在消费级 GPU 上的性能与 GRPO 的对比 [P]

    <!-- SC_OFF --><div class="md"><p>I am trying to learn concepts like On Policy Distillation (OPD), On Policy Self Distillation (OPSD) and how do they compare to RL algorithms like GRPO.</p> <p>There are a lot of papers on this, but because of limited compute I cannot try these pa…

相关实体

相关话题