{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236549","sets":["6504:11678:11688"]},"path":["11688"],"owner":"44499","recid":"236549","title":["LLMサーバ構成を選択するための評価支援システムの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"af1eceb6-c8b5-49bc-ac56-9183633227fe"},"_deposit":{"id":"236549","pid":{"type":"depid","value":"236549","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"LLMサーバ構成を選択するための評価支援システムの提案","author_link":["646693","646695","646694","646692"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LLMサーバ構成を選択するための評価支援システムの提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本工学院八王子専門学校"},{"subitem_text_value":"日本工学院八王子専門学校"},{"subitem_text_value":"日本工学院八王子専門学校"},{"subitem_text_value":"エイビット"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236549/files/IPSJ-Z86-7ZC-08.pdf","label":"IPSJ-Z86-7ZC-08.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-7ZC-08.pdf","filesize":[{"value":"441.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"5a3e8d57-597f-4464-b09a-24bfd4dab011","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高瀬, 和真"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"太田, 晶"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 彰人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 雅人"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"大規模言語モデル(LLMs:Large language models)についてビジネス利用するにあたり,情報漏洩等のセキュリティリスクを懸念する声が上がっている.この際に,セキュリティリスクを最小化する方法として,ローカル環境でのLLMを活用したシステムが求められている.一方で、活用するLLMに対して,どのような計算資源が必要か,一般的なベンチマーク等から理解し選定することは容易ではない.このため,開発者がローカルLLMの動作を容易に評価できるよう,GPUインスタンスとLLMの推論環境を一時的に自動構成し,スループットやレイテンシーを計測できる支援システムを提案する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"474","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"473","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236549,"updated":"2025-01-19T09:12:58.476829+00:00","links":{},"created":"2025-01-19T01:38:39.569613+00:00"}