#成本效益
Live, measured metrics for the hashtag #成本效益 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #成本效益
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 20:32 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 20:32 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-22 20:32 UTCEverything below is measured over the latest 9 public posts (spanning ~10372 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (7)
Avg boosts / post: 0
Top of the latest posts
🌖 Carolina Cloud：經濟實惠的雲端運算服務，專為企業驗證用戶提供 250 美元免費試用 ➤ 以更低的成本，釋放您的數據科學與 AI 潛能 ✤ https://carolinacloud.io/ Carolina Cloud 是一家新興的雲端服務供應商，旨在以遠低於 AWS 和 GCP 的價格，提供高性能的雲端虛擬機、容器、GPU 和筆記本電腦。該公司強調其透明的計價方式，並提供長達 3.4 倍的價格優勢，特別是對於獨立 CPU 實例。Carolina Clou
🌘 超越 GPT-5：透過效能－效率優化路由，打造更經濟、更強大的大型語言模型 ➤ 顛覆 LLM 成本與效能的天平，以智能路由開創嶄新局面 ✤ https://arxiv.org/abs/2508.12631 這篇論文提出名為 Avengers-Pro 的創新測試時間路由框架，旨在解決大型語言模型 (LLM) 在效能與效率之間的權衡難題。該框架透過嵌入並對輸入查詢進行分羣，再根據效能－效率分數將其路由至最適合的模型。實測結果顯示，Avengers-Pro 能整合不同容量和效
🌘 微調小型語言模型，以更低的成本勝過大型模型，並透過程式化資料策展實現 ➤ 突破效能與成本的兩難：小型 LLM 的進化之道 ✤ https://www.tensorzero.com/blog/fine-tuned-small-llms-can-beat-large-ones-at-5-30x-lower-cost-with-programmatic-data-curation/ 研究發現，透過大型模型產生的高品質輸出進行微調，小型語言模型能在多項任務中超越大型模型的表現，
#成本效益 across platforms
every network with a public tag surfaceFollow #成本效益 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/成本效益