#grpo

Live, measured metrics for the hashtag #grpo from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #grpo

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.

$2,449.80/ year · 4-character #name
Claim #grpo — $2,449.80/yr→
Annual, renews each year
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
27
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 27
0
Avg reactions / post
Mastodon · last 27

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 01:27 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 2026-07-27 01:27 UTC
#grpoll
0 uses · 0 accounts / 7d
#GRPolitics
0 uses · 0 accounts / 7d
#grPol
0 uses · 0 accounts / 7d
#GRPObliteration
0 uses · 0 accounts / 7d

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 01:27 UTC

Everything below is measured over the latest 27 public posts (spanning ~12926 hours).

Posting hours (UTC) — busiest: 11:00

00:0012:0023:00

Languages: English (16) · Russian (7) · French (1) · Japanese (1)

Avg boosts / post: 0.1

Top of the latest posts

  • Данные, которые нельзя выдумать: как мы собираем трейсы для тренировки агентских навыков Cotype Привет, Хабр! На днях мы выкатили третье поколение языковых моделей Cotype — флагманскую Cotype Pro 3 и ее облегченную версию Cotype Light 3 (к

    Habr@[email protected]♥ 0↻ 02026-07-20 12:02 UTCView post →

  • Saeed Anwar (@saen_dev) GRPO의 레퍼런스 모델 제거는 정렬 학습 비용을 줄이지만 안정성 트레이드오프를 만들 수 있고, DPO는 설계상 이를 피한다는 주장이다. RLHF·선호 최적화 방식을 선택할 때 방법론의 이론적 우열보다 학습에 투입 가능한 하드웨어와 컴퓨트 예산이 실질적 결정 요인이 될 수 있음을 짚는다. https://x.com/saen_dev/status/2078745370448839060 #grp

    ainews@[email protected]♥ 0↻ 02026-07-19 08:51 UTCView post →

  • Saeed Anwar (@saen_dev) GRPO는 레퍼런스 모델을 제거해 정렬 파인튜닝 반복 비용을 낮출 수 있지만 안정성 문제가 생길 수 있으며, DPO는 레퍼런스 모델 기반 설계로 이를 완화한다는 관점이다. 실제 선택은 이론적 우위보다 가용 GPU·컴퓨트 예산에 좌우되는 경우가 많다는 실무적 문제 제기다. https://x.com/saen_dev/status/2078745342653121014 #grpo #dpo #al

    ainews@[email protected]♥ 0↻ 02026-07-19 08:51 UTCView post →

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/grpo