#fine_tuning

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
12
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 12
0
Avg reactions / post
Mastodon · last 12

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 09:28 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 09:28 UTC

No related tags with measured usage found for #fine_tuning.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 09:28 UTC

Everything below is measured over the latest 12 public posts (spanning ~21026 hours).

Posting hours (UTC) — busiest: 10:00

00:0012:0023:00

Languages: Russian (5) · English (4) · Japanese (2) · Polish (1)

Avg boosts / post: 0.1

Top of the latest posts

  • I just created a Kirby theme with ChatGPT Codex in just a few minutes; now I’ll be fine-tuning it further with Codex over the next few days. 😉 It’s impressive what I’ve already accomplished in 2–3 hours with ChatGPT Codex—or rather, what t

    Stefan@[email protected]♥ 0↻ 02026-07-18 10:11 UTCView post →

  • ilker (@ailker) 이미지 학습에 필요한 샘플 수로 최소 5장, 최대 10장을 제안했다. 소수의 이미지로도 LoRA/스타일 학습을 시도할 수 있다는 실무적 힌트다. https://x.com/ailker/status/2070633286511018479 #lora #training #images #fine_tuning #ai

    ainews@[email protected]♥ 0↻ 02026-06-26 22:45 UTCView post →

  • fly51fly (@fly51fly) RLVR 학습을 최소화해도 LLM을 rank-1 trajectory로 외삽할 수 있다는 연구입니다. UVA 연구진의 arXiv 논문으로, 강화학습 기반 추론 정렬을 더 적은 비용으로 달성할 가능성을 시사합니다. LLM 파인튜닝·추론 최적화 관점에서 참고할 만합니다. https://x.com/fly51fly/status/2058662129004339537 #llm #rlvr #fine_tun

    ainews@[email protected]♥ 0↻ 02026-05-24 22:50 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/fine_tuning