Result for "Large Language Models",180

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

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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/

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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

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“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/