#supervised_finetuning

Live, measured metrics for the hashtag #supervised_finetuning 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
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 07:33 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 07:33 UTC

No related tags with measured usage found for #supervised_finetuning.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:33 UTC

Everything below is measured over the latest 4 public posts (spanning ~3797 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (4)

Avg boosts / post: 0

Top of the latest posts

  • [Перевод] Законы масштабирования – архитектура O1 Pro // Инфраструктура синтетических данных, RLAIF, токеномика вычислений С каждым днем растут страхи и сомнения относительно законов масштабирования ИИ. Большинство предсказателей отрасли ИИ

    Habr@[email protected]♥ 0↻ 02024-12-27 12:52 UTCView post →

  • [Перевод] Что такое supervised fine-tuning? Supervised fine-tuning (SFT) — это методика, применяемая для адаптации предварительно обученных Large Language Model (LLM) под конкретную задачу при помощи размеченных данных. В процессе SFT предв

    Habr@[email protected]♥ 0↻ 02024-07-24 09:02 UTCView post →

  • [Перевод] Как с помощью supervised fine-tuning кастомизировать LLM В быстро развивающейся сфере Natural Language Processing (NLP) fine-tuning стал мощным и эффективным инструментом адаптации предварительно обученных больших языковых моделей

    Habr@[email protected]♥ 0↻ 02024-07-23 09:02 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/supervised_finetuning