Gemma 4 12B, KVarN Quantisierung & Ubers AI-Preisdeckel

Google veröffentlicht Gemma 4 12B als encoder-freies multimodales Open-Weight-Modell. KVarN erreicht 2-Bit KV-Cache Quantisierung für Reasoning-Modelle. Uber setzt mit 1500 Dollar pro Monat pro Mitarbeiter einen AI-Preisdeckel. Zwei Forschungspapiere zu q0 (12,9x Dateneffizienz) und LLMs Need Sleep zeigen neue Wege für effizienteres Training.

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