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Easy upgrade and replacement of foundation models such as NTT's LLM "tsuzumi" Tokyo - May 7, 2024 - NTT Corporation (NTT) has realized "learning transfer" technology as a completely new mechanism which reuses past learning trajectories between different models in deep learning.
In November 2023, NTT Human Informatics Laboratories released "tsuzumi," NTT's proprietary, highly efficient LLM. This LLM addresses the issues faced by GPT: language-model size, reliability of information, model extensibility, applicability to non-language modalities, and power consumption associated with large-scale training.
May 7, 2024. NTT Corporation. NTT Data Mathematical System, Inc. Development of a method to learn AI models with high accuracy even when some clients are anomalous or malicious in Federated Learning. Toward practical application to LLM tsuzumi training and IOWN functionality.
2024年5月 7日. 日本電信電話株式会社. 世界初、AIモデルの再学習コストを大幅に削減可能な過去の学習過程を再利用する「学習転移」を実現. ～NTT版LLM「tsuzumi」など基盤モデルの更新・差し替えを容易に～ 発表のポイント： 深層学習において、過去の学習過程をモデル間で再利用する全く新たな仕組みとして「学習転移」技術を実現しました。 本技術は、深層学習におけるパラメータ空間の高い対称性を活用し、実際に学習することなく低コストな変換により数秒～数分程度で一定の精度を実現できるため、モデルの再学習コストを抜本的に削減できることを示しました。
「tsuzumi」の開発以前から、NTT人間情報研究所では自然言語処理の研究が進められていたという。 「日本電信電話公社の時代から音の伝送や音声 ...
The Tsuzumi Mansion Arc; The Mount Natagumo Arc; The Rehabilitation Training Arc; The Mugen Train Arc; The Entertainment District Arc; The Swordsmith Village Arc; The Hashira Training Arc; The Infinity Castle Arc; Warning: Major spoilers if you have yet to watch the Demon Slayer anime or read the manga.
Book now at Tsuzumi in Barangaroo, AU-NSW. Explore menu, see photos and read 17 reviews: "Highly recommended!! Chef Jun knows how to create great Japanese dishes using both Australian and Japanese ingredients.
