NTT's Large Language Models 'tsuzumi 2' | NTT R&D Website
NTT's Large Language Models 'tsuzumi 2' | NTT R&D Website NTT R&D Website Research&Activity NTT's
https://www.rd.ntt/e/research/LLM_tsuzumi.html
P01_leaf_e.pdf
customizable Large language model “tsuzumi” NTT version Large Language Models Copyright © 2023 Nippon Telegraph
https://www.rd.ntt/forum/2023/doc/P01_leaf_e.pdf
NTT's Large Language Model "tsuzumi":A High-performance and Low-energy-consumption Large Language Model with Expertise in Specific Fields | NTT R&D Website
large language models (LLMs), including NTT's tsuzumi, which was announced in November 2023. Since
https://www.rd.ntt/e/research/JN202406_26659.html
Natural language processing | NTT R&D Website
retrieval. In recent years, NTT has focused on methods that use large-scale language models, which are
https://www.rd.ntt/e/hil/category/language/
P10_leaf_e.pdf
Background Large-scale language models, including ChatGPT, have made significant strides, striving
https://www.rd.ntt/forum/2023/doc/P10_leaf_e.pdf
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dive NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone Corporation All
https://www.rd.ntt/forum/2023/doc/P11_leaf_e.pdf
Toward a More Accurate and Easy-to-use System for Rapidly Evolving Machine Translation | NTT R&D Website
translation using large language models (LLMs) and machine translation using a Japanese-English bilingual
https://www.rd.ntt/e/research/JN202402_24997.html
Knowledge and Language-processing Technology that Supports and Substitutes Customer-contact Work|NTT R&D Website
tasks other than machine reading has also improved significantly, and language models are attracting
https://www.rd.ntt/e/research/JN202010_7462.html
NTT Human Informatics Laboratories | NTT R&D Website
intelligence through Large Language Models, World Models that replicate and predict real-world dynamics
https://www.rd.ntt/e/hil/
Research on Symbiotic Intelligence for Achieving Symbiosis among People and between People and Machines|NTT R&D Website
constructing large-scale pre-training language models for Japanese and conducting R&D to further improve their
https://www.rd.ntt/e/research/JN202110_15632.html
D01-01-e.pdf
the fiscal year 2027. 01-01 The evolution of 'tsuzumi’: NTT’s large language models Enhance its
https://www.rd.ntt/forum/2024/doc/D01-01-e.pdf
Kyosuke Nishida | NTT R&D Website
large language models, "tsuzumi". We aim to develop a question answering system capable of answering all
https://www.rd.ntt/e/organization/researcher/superior/s_033.html
NTT's LLM "tsuzumi": Capable of Comprehending Graphical Documents | NTT R&D Website
comprehension Large language models (LLMs) are being applied to fields such as healthcare, customer support, and
https://www.rd.ntt/e/research/JN202406_26653.html
P04_leaf_e.pdf
speaking abilities NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone
https://www.rd.ntt/forum/2023/doc/P04_leaf_e.pdf
Security for AI at NTT R&D | AI for Good Global Summit 2026 Exhibition | SocioTechnical-Hub | Social Informatics Laboratories
large language models (LLMs), to reduce privacy risks and enable the safe deployment of AI systems
https://www.rd.ntt/e/sil/media/0026.html
Speech Recognition for Computers | NTT Communication Science Laboratories | NTT R&D Website
highly accurate acoustic and language models, such as dMMI (*1)-based discriminative acoustic model
https://www.rd.ntt/e/cs/team_project/media/signal/research_media05.html
P02_leaf_e.pdf
“tsuzumi” for understanding graphic documents NTT version Large Language Models Copyright © 2023 Nippon
https://www.rd.ntt/forum/2023/doc/P02_leaf_e.pdf
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: Cybersecurity operation technology NTT version Large Language Models Copyright © 2023 Nippon Telegraph and
https://www.rd.ntt/forum/2023/doc/P08_leaf_e.pdf
NTT's LLM "tsuzumi" | NTT R&D Website
multimodal In November 2023, NTT announced tsuzumi, a large language model (LLM) based on NTT laboratories
https://www.rd.ntt/e/research/JN202406_26651.html
JParaCrawl|NTTコミュニケーション科学基礎研究所|NTT R&D Website
English-Japanese training set (v2.0, 10.0M sentences, deduped): Download NMT Models (based on v3.0
https://www.rd.ntt/cs/team_project/icl/lirg/jparacrawl/