#llm加速
Live, measured metrics for the hashtag #llm加速 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llm加速
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 2026-08-24 04:26 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 2026-08-24 04:26 UTCNo related tags with measured usage found for #llm加速.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 04:26 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: Chinese (Taiwan) (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌕 《兩大AI實驗室的快速推理妙招》 ➤ 速度與精準度的角力場 ✤ https://www.seangoedecke.com/fast-llm-inference/ Anthropic與OpenAI近期相繼推出「快速模式」服務，大幅提升AI編程模型的回應速度。Anthropic透過降低批次處理規模，使旗艦模型Opus 4.6提速2.5倍，但需付出六倍成本；OpenAI則攜手Cerebras公司採用特殊晶片技術，以精簡版模型GPT-5.3-Codex-Spark實現15倍增速
What “llm加速” means
WikipediaA large language model (LLM) is an AI model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots. Biased or inaccurate training data can make an LLM's output less reliable.
“Large language model” on Wikipedia (CC BY-SA) →#llm加速 across platforms
every network with a public tag surfaceFollow #llm加速 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/llm加速