大規模言語モデルにおける深層探索能力の競争は激化しているが、従来の開発手法は資源集約的な事前学習や微調整、強化学習に依存し、産業界の大手が独占してきた。しかし、最近の学術チームがOpenSeeker-v2を発表し、高品質な手法で資源消費を大幅に削減し、効率的な革新の新たな道を示した。....
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