Result for "Large Language Models",178

NTT版LLM「tsuzumi」の研究開発、商用化動向 | NTT R&D Website

特集では、軽量でありながら世界トップレベルの日本語処理性能を持つNTT版大規模言語モデル（LLM：Large Language Models）「tsuzumi」の最新の研究開発、および商用化の動向

https://www.rd.ntt/research/JN202406_26649.html

P06_leaf_e.pdf

” with physical senses and a robot body NTT version Large Language Models Copyright © 2023 Nippon

https://www.rd.ntt/forum/2023/doc/P06_leaf_e.pdf

P05_leaf_e.pdf

understands user situations NTT version Large Language Models Copyright © 2023 Nippon Telegraph and Telephone

https://www.rd.ntt/forum/2023/doc/P05_leaf_e.pdf

IOWN∴Quantum Leap | NTT R&D Website

large-scale models We are developing what we call a large action model. A language model predicts the

https://www.rd.ntt/e/forum/2025/keynote_2.html

NTT Communication Science Laboratories Open House 2015 Program

Science Can you beat TOROBO-kun? - Evaluating the naturalness of sentences using language models - "Wanwan

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

Wataru Matsuda | Social Informatics Laboratories | NTT R&D Website

Cybersecurity Information Using Large Language Models, Journal of Information Processing 33, 139-155 Authored

https://www.rd.ntt/e/sil/overview/evangelist/wataru_matsuda.html

西田 京介 | NTT R&D Website

, Kosuke Nishida, Ryota Tanaka "Recent Advances in Large Language Models and Vision-and-Language Models

https://www.rd.ntt/organization/researcher/superior/s_033.html

collaborative-ai.pdf

Vision-Language Understanding with Advanced Large Language Models. CoRR abs/2304.10592 (2023) 20. Junnan

https://www.rd.ntt/hil/2023/05/22/collaborative-ai.pdf

List of exhibits｜NTT R&D FORUM 2023 — IOWN ACCELERATION Report

exhibits List of IOWN Pick Up exhibits Themes of exhibition Explanation of the theme Large Language Model

https://www.rd.ntt/e/forum/2023/exhibit.html

AI Constellation ― a collaboration of diverse AIs | NTT R&D Website

, pp. 19–27, Apr. 2025.) NTT Group and NTT R&D About AI at NTT | NTT NTT's Large Language Models

https://www.rd.ntt/e/cds/ai-constellation/

Report on the NTT R&D FORUM｜NTT R&D FORUM 2023 — IOWN ACCELERATION

ACCELERATION," introduced some of the latest developments in IOWN, such as NTT's large-language model (LLM

https://www.rd.ntt/e/forum/2023/

松田 亘｜社会情報研究所｜NTT R&D Website

Mitsunaga, K Watanabe, Efficient Curation of ICS Cybersecurity Information Using Large Language Models

https://www.rd.ntt/sil/overview/evangelist/wataru_matsuda.html

Media Information Laboratory | NTT Communication Science Laboratories | NTT R&D Website

& Shoko Araki (2022). Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models

https://www.rd.ntt/e/cs/team_project/media/

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

Diffusion/Flow-Matching Models” has been accepted to IEEE Transactions on Audio, Speech and Language

https://www.rd.ntt/e/cs/team_project/media/past_news.html

Long-term future-scenario-analysis technology | NTT Space Environment and Energy Laboratories | NTT R&D Website

analysis and prediction of future scenarios utilizing AI technologies such as large language models (LLMs

https://www.rd.ntt/e/se/technology/future_scenario.html

NTT Communication Science Laboratories Open House 2016 Program

challenges in open domain natural language processing - Ryuichiro Higashinaka, Innovative Communication

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

自然言語処理 | NTT R&D Website

, Kyosuke Nishida, Sen Yoshida, "Task-adaptive Pre-training of Language Models with Word Embedding

https://www.rd.ntt/hil/category/language/

RECOMMENDED EXHIBITIONS | NTT R&D Website

'tsuzumi': NTT's large language models NTT Laboratories aims to equip the large-scale language model

https://www.rd.ntt/e/forum/2024/recommend.html

Keynote Speech 3｜NTT R&D FORUM 2023 — IOWN ACCELERATION Report

-scale language models are in a competition for the number of parameters, becoming very large in scale

https://www.rd.ntt/e/forum/2023/keynote_3.html

メディア情報研究部｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Based on Large Ensemble of Complementary Neural Language Models. ICASSP 2022 - 2022 IEEE International

https://www.rd.ntt/cs/team_project/media/