#supervisedfinetuning
Live, measured metrics for the hashtag #supervisedfinetuning from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #supervisedfinetuning
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 2026-07-28 21:46 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 2026-07-28 21:46 UTCNo related tags with measured usage found for #supervisedfinetuning.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 21:46 UTCEverything below is measured over the latest 2 public posts (spanning ~705 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 0.5
Top of the latest posts
Nemotron 3 Super pushes the frontier with 40 M supervised & alignment samples, leveraging a Mamba‑Transformer backbone and Mixture‑of‑Experts scaling. The model shows stronger agent reasoning, RL‑based fine‑tuning, and tighter AI alignment.
via #AIFoundry : Beyond the Prompt – Why and How to Fine-tune Your Own Models https://ift.tt/DpcF2h4 #finetuning #microsoftfoundry #azureai #enterpriseai #llm #languagemodels #foundationmodels #promptengineering #rag #retrievalaugmentedgene
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/supervisedfinetuning