#knowledgedistillation
Live, measured metrics for the hashtag #knowledgedistillation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #knowledgedistillation
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 · mas.to (Mastodon public tags API) · fetched 2026-07-28 08:40 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-07-28 08:40 UTCNo related tags with measured usage found for #knowledgedistillation.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-28 08:40 UTCEverything below is measured over the latest 6 public posts (spanning ~12316 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 0.5
Top of the latest posts
Knowledge Distillation of Black-Box Large Language Models https://arxiv.org/abs/2401.07013 #HackerNews #KnowledgeDistillation #BlackBox #LLMs #AIResearch #MachineLearning #NLP
Published at #IRRJ: "Beyond Hostility: Detecting Subtle and Overt Forms of Online Conflict with Multi-Objective Learning" by Oliver Warke, Joemon M. Jose, and Jan Breitsohl. #Hostility, #OnlineConflictDetection, #SocialMedia, #BehaviourAnal
Akshay (@akshay_pachaar) 자동화된 파인튜닝과 작은 모델을 만드는 방법을 다룬 연구를 언급하며, 기존 지식 증류(KD)와 달리 teacher에서 small model로만 가는 방식이 아니라 더 나은 접근이 있을 수 있음을 시사한다. 소형 모델 학습과 자동 최적화 관점에서 주목할 만한 연구 흐름이다. https://x.com/akshay_pachaar/status/2049772296248623319 #finet
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/knowledgedistillation