#模型微調
Live, measured metrics for the hashtag #模型微調 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #模型微調
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-22 13:03 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-22 13:03 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 13:03 UTCEverything below is measured over the latest 9 public posts (spanning ~8785 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (9)
Avg boosts / post: 0
Top of the latest posts
🌗 介紹 Muse Code 與 Muse Spark 1.2 | Meta AI 研究 ➤ 邁向自主軟體工程：終端機代理與長週期程式編碼模型的技術突破 ✤ https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2 Meta AI 推出全新終端機編碼代理工具 Muse Code 測試版，其由專為程式設計優化的 Muse Spark 1.2 模型驅動。該系統透過持久性非同步背景代理與基於本地事
🌖 Inkling：Thinking Machines Lab 推出的開放權重模型 ➤ 打造靈活可控的通用人工智慧新範式 ✤ https://thinkingmachines.ai/news/introducing-inkling/ Thinking Machines Lab 近期發表了全新基礎模型「Inkling」。這是一款基於 Mixture-of-Experts（混合專家架構）的 Transformer 模型，擁有 9750 億總參數（410 億活躍參數），並具備高達
🌗 微調本地大型語言模型以優化問題分類 ➤ 從 10% 到 80%：超輕量模型微調的實戰演練 ✤ https://www.teachmecoolstuff.com/viewarticle/fine-tuning-a-local-llm-to-categorize-questions 本文記錄了作者為家庭 AI 聊天室構建分類系統的實驗過程。為了精確執行檢索增強生成（RAG），作者旨在通過微調一個僅 6 億參數的小型模型（Qwen 3:0.6B），使其成為高效的問題分類器，進
#模型微調 across platforms
every network with a public tag surfaceFollow #模型微調 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/模型微調