#plms
Live, measured metrics for the hashtag #plms from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #plms
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-07 08:08 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-07 08:08 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-07 08:08 UTCEverything below is measured over the latest 2 public posts (spanning ~5455 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0
Top of the latest posts
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling https://arxiv.org/abs/2306.11489 ChatGPT, a large language model (LLM), has gained considerable attention due to its powerful emer
Our solution extends prompting in pre-trained #languageModels (#PLMs) to obtain a ``typed’’ output. First, we propose to define types by example. Given “Rome, Paris, New York”, we learn the #embeddings for their latent, shared concept in th
#plms across platforms
every network with a public tag surfaceFollow #plms 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/plms