#ruby_llm
Live, measured metrics for the hashtag #ruby_llm from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ruby_llm
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 2026-09-17 17:33 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 2026-09-17 17:33 UTCNo related tags with measured usage found for #ruby_llm.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-17 17:33 UTCEverything below is measured over the latest 6 public posts (spanning ~1129 hours).
Posting hours (UTC)
Avg boosts / post: 0
Top of the latest posts
로컬 AI와 RAG의 한계: 모델의 본성과 '원죄'에 대하여 로컬 AI 모델은 학습 데이터에 의해 결정되는 '원죄'를 가지며, 학습되지 않은 특정 도메인(Ruby-LibGD 등)에서는 근본적인 지능의 한계가 존재합니다. 🔗 원문 보기
Rails 애플리케이션을 위한 구조화된 LLM 레이어 설계 가이드 단순 문자열 보간 대신 ERB 템플릿과 전용 클래스를 사용하여 프롬프트와 비즈니스 로직을 분리하고 유지보수성을 높인다. 🔗 원문 보기
Rails 애플리케이션을 위한 LLM 아키텍처 레이어 설계 단순 API 호출을 넘어 모델 교체와 유지보수가 용이하도록 BaseLLMRequest 기반의 추상화 레이어를 설계한다. 🔗 원문 보기
#ruby_llm across platforms
every network with a public tag surfaceFollow #ruby_llm straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/ruby_llm