#multitokenprediction
Live, measured metrics for the hashtag #multitokenprediction from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #multitokenprediction
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 2026-07-31 23:39 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 2026-07-31 23:39 UTCNo related tags with measured usage found for #multitokenprediction.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-31 23:39 UTCEverything below is measured over the latest 21 public posts (spanning ~17232 hours).
Posting hours (UTC) — busiest: 05:00
Languages: English (19) · Italian (1) · Polish (1)
Avg boosts / post: 0
Top of the latest posts
Nvidia/Nvidia-Nemotron-3-Ultra-550B-A55B-BF16 NVIDIA가 5500억 파라미터 규모의 Nemotron-3-Ultra-550B-A55B-BF16 LLM을 공개했다. 이 모델은 LatentMixture-of-Experts 아키텍처와 Multi-Token Prediction 기법을 활용해 복잡한 에이전트 워크플로우, 장문 컨텍스트 분석, 다국어 추론에 최적화되어 있다. NVFP4 양자화 기반의
🔥 Gemma 4 riduce la latenza fino a 3x con i drafter Multi-Token: decodifica speculativa senza perdita di qualità https://gomoot.com/gemma-4-accelera-linferenza-grazie-ai-drafter-multi-token/ #AIInference #gemma4 #GoogleAI #LLM #MultiTokenP
Omar Sanseviero (@osanseviero) Gemma 4 Multi-Token Prediction Drafters가 소개됐다. 온디바이스 추론을 가속하는 기술로, 최대 3배 속도 향상과 동일한 품질 보장을 내세우며 오픈소스 도구에서 바로 사용할 수 있다고 밝혔다. https://x.com/osanseviero/status/2051695861801820475 #google #gemma4 #opensource #inf
#multitokenprediction across platforms
every network with a public tag surfaceFollow #multitokenprediction 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/multitokenprediction