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English(EN) Is it okay to share my experiments implementing research papers on my own LLM here? [P]

用户寻求在 r/MachineLearning 上分享个人LLM实验

r/MachineLearning 版块的一名用户正在寻求许可,以分享他们从头开始构建和训练小型LLM的个人实验和博客文章。该用户已经记录了Transformer模型的构建及其训练过程,并计划涵盖KV缓存和PagedAttention等主题。他们强调,他们的意图纯粹是为了学习、实验和获得反馈,而不是任何推广目的。 AI

影响 最小;这是一个用户寻求社区关于分享个人学习项目的指导。

排序理由 用户请求允许在版块上分享个人项目日志。

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 →

用户寻求在 r/MachineLearning 上分享个人LLM实验

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
Commentary
用户请求允许在版块上分享个人项目日志。
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
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
3 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/the-random-guy-2002 ·

    在这里分享我实现研究论文的实验到我自己的LLM上是否可以?[P]

    <!-- SC_OFF --><div class="md"><p>Hey everyone!</p> <p>I've built and trained a small LLM (~8M parameters) from scratch using PyTorch, mainly as an experimental lab where I can implement and test ideas from different research papers.</p> <p>I've been documenting the whole journey…