#llmtraining
Live, measured metrics for the hashtag #llmtraining from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #llmtraining
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 2026-11-13 17:14 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 2026-11-13 17:14 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-13 17:14 UTCEverything below is measured over the latest 28 public posts (spanning ~15845 hours).
Posting hours (UTC) — busiest: 21:00
Languages: English (28)
Avg boosts / post: 0.1
Top of the latest posts
AI:Mechanic (@AiMechanic) Sebastian Raschka의 『Build a Large Language Model』과 Sutskever 관련 학습 목록을 함께 소개하며, 현대 AI의 이론적·역사적 흐름을 따라가고 핵심 LLM을 처음부터 재구현해보자는 학습 자료 추천이다. LLM 구조와 학습 과정을 체계적으로 익히려는 개발자에게 참고할 만하다. https://x.com/AiMechanic/status/2094
#LLMtraining #TrainingData #TuringTestOpera "Turing Test Opera" #PopularityMachines #PopularityModels 1. LLM systems are trained on what is popular and repeated 2. Large Language Models are models of human media popularity 3. Hugging a sili
Baking a Model: A Metaphor for LLM Training https://newsletter.kentbeck.com/p/baking-a-model Comments: https://news.ycombinator.com/item?id=49305969 #HackerNews #Baking #a #Model #LLMTraining #AIModel #Metaphor #MachineLearning
#llmtraining across platforms
every network with a public tag surfaceFollow #llmtraining 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/llmtraining