グーグルがGemma4 E2Bアーキテクチャを発表、スマートフォンでローカルにAIを実行する技術に質的な進化
グーグルDeepMindはオープンソース大規模モデルGemma4を発表しました。パラメーター数は約300億にとどまりますが、「パラメーターあたりの知能密度」が顕著に向上し、1年半前のトップクラスの非開示モデルと同様の性能を発揮します。そのコアな突破点は、パラメーターのアンロードを可能にする「E2B（エーツービー）」アーキテクチャの導入であり、これはオープンソース大規模モデルの基盤アーキテクチャにおける重要なアップグレードを示しています。
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