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width="16" height="16" /></span> {{#previous}} <a href="{{page_path}}">{{label}}</a> {{/previous}} {{#pages}} {{#page_path}} <span><a href="{{page_path}}">{{label}}</a></span> {{/page_path}} {{^page_path}} <span>{{label}}</span> {{/page_path}} {{/pages}} {{#next}} <a href="{{page_path}}">{{label}}</a> {{/next}} </div> </li> </script> <ul class="js-user-bookmark-item-list js-keyboard-controllable-container"> <li class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://www2.deloitte.com/jp/ja/pages/technology/articles/multi-agent.html"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://www2.deloitte.com/jp/ja/pages/technology/articles/multi-agent.html" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fwww2.deloitte.com%2Fjp%2Fja%2Fpages%2Ftechnology%2Farticles%2Fmulti-agent.html" alt="">デロイト トーマツ、LLMを自律的に連携させ業務を自動化する「マルチエージェントアプリ」を開発|Deloitte Japan</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/www2.deloitte.com/jp/ja/pages/technology/articles/multi-agent.html" class="js-keyboard-entry-page-openable" title="デロイト トーマツ、LLMを自律的に連携させ業務を自動化する「マルチエージェントアプリ」を開発|Deloitte Japan (2ブックマーク)" data-gtm-click-label="user-bookmark-users">2 users</a> </span> </li> <li> <a href="/tomo31415926563/?url=https%3A%2F%2Fwww2.deloitte.com%2F" title="『www2.deloitte.com』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> www2.deloitte.com </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">デロイト トーマツは、業務目的に応じて大規模言語モデル(LLM)が必要なツールを使い分けて処理を自動で実行する<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>エージェントの実装を推進しています。今般、その機能強化のために、多様な<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>エージェントが自律的に連携する「マルチエージェントアプリ」を開発しました。 現在、業務の効率化を目的に、LLMが組み込まれたチャット型アプリケーションが多くの企業で利用されていますが、対象となる業務が複雑になると、「様々なプロンプト<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>を理解する必要がある」「<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>との会話を何ターンも繰り返す必要がある」「<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>の誤りを細かくチェックする必要がある」等の課題が生じ、複雑な業務への適用の障壁となっています。 そういった問題の解決策として昨今注目されている<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>に「マルチエージェント」があります。これは、特定の役割やツールを持たせた<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>エージェントを複数組み合わせることで、<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>エージェント同士が自律的に連携しながら</p> <a href="https://www2.deloitte.com/jp/ja/pages/technology/articles/multi-agent.html" 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class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/aina_17/n/n5d1d4d3a0e18" class="js-keyboard-entry-page-openable" title="超保守の白人しかいない田舎、アメリカ北西部のアイダホで暮らした記憶を辿る|あいの (1186ブックマーク)" data-gtm-click-label="user-bookmark-users">1186 users</a> </span> </li> <li> <a href="/tomo31415926563/?url=https%3A%2F%2Fnote.com%2Faina_17" title="『note.com/aina_17』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> note.com/aina_17 </a> </li> <li><a href="/hotentry/life" data-gtm-click-label="user-bookmark-category">暮らし</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary"><a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%88%E3%83%A9%E3%83%B3%E3%83%97">トランプ</a>大統領の再選が決まって、例に漏れず<a data-gtm-click-label="entry-summary-keyword" href="/q/%E9%AC%B1">鬱</a>屈とした気持ちになる。<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%88%E3%83%A9%E3%83%B3%E3%83%97">トランプ</a>大統領を支持する人たちってどういう人たちなのか。メディアで報道されているニュースを見ても、ピンとこない人たちもたくさんいると思う。私たち、日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>人がビジネスで接するのは<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%AA%E3%83%99%E3%83%A9%E3%83%AB">リベラル</a>な<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%82%A2%E3%83%A1%E3%83%AA%E3%82%AB">アメリカ</a>人がほとんどだと思うし、駐在・留学する地域も多様性が尊重される場所が多いのではないか。 多くの日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>人が私に『私の知っている<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%82%A2%E3%83%A1%E3%83%AA%E3%82%AB">アメリカ</a>人は皆<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%88%E3%83%A9%E3%83%B3%E3%83%97">トランプ</a>に反対している。彼を支持する人たちは一体誰なの?』と言います。この情報がその質問への答えを示しています。都市部以外に住んでいて、高等<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%95%99%E8%82%B2">教育</a>を受けていない人々、つまり日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>人があまり出会うことのない人です。https://t.co/3X5FME3uSo — ロッシェル・カップ (@JICRochelle) Nov<a data-gtm-click-label="entry-summary-keyword" href="/q/EM">em</a>ber 6, 2024 私は高校時代、超保守地域のアイダホ州に1年間留学していた。ホー</p> <a href="https://note.com/aina_17/n/n5d1d4d3a0e18" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/384af6623bb17cd55d3ddbea90dbe466f4b6e8df/height=288;version=1;width=512/https%3A%2F%2Fassets.st-note.com%2Fproduction%2Fuploads%2Fimages%2F160865436%2Frectangle_large_type_2_047ff55493b106d74d3d131fc4981692.png%3Ffit%3Dbounds%26quality%3D85%26width%3D1280" alt="超保守の白人しかいない田舎、アメリカ北西部のアイダホで暮らした記憶を辿る|あいの"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4761717946267494592"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://note.com/aina_17/n/n5d1d4d3a0e18" 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href="/q/%E6%9C%AC">本</a>当に最初の初報が出たあの日に、速やかに会見して謝罪と弁明を弁明を見せてれば傷は浅かったはずなんだ。 「年甲斐もなく最近まで、初対面の女性も交えて遊ぶような飲み会に参加することがあった。その後で相手を性的関係に誘うことも一度ならずあった。もちろんそれは家族に対する裏切りなのだが、独身時代の遊行の延長で軽く考えていた。 ただ、自分の認識ではお互い、対等に合意の上での遊びだと思い込んでいた。たとえば後輩が自分に気を遣って、それほど気乗りしていない女性を無理に連れてきているかもしれないだとか、自分に声をかけられたら女性は『相手は権力者だから断れない』と思い詰めるかもしれないとか、そういった権力勾配にまったく無頓着だった。それは恥ずべきことだし、飲み会の席のみならず常に自戒しなければならない点だと気づかされた。 今回、傷つかれたと声を上げられた方に、そして、これ</p> <a href="https://anond.hatelabo.jp/20241108192150" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/b1638cdb5807a4788e4ba3c1109a984166e095fc/height=288;version=1;width=512/https%3A%2F%2Fanond.hatelabo.jp%2Fimages%2Fog-image-1500.gif" alt="R.I.P.松本人志"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4761720281657479968"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " 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</ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4761720281657479968/comment/tomo31415926563" data-gtm-click-label="user-reaction-permalink" rel="nofollow">リンク</a> </span> <span class="list-star-container js-list-star-container"></span> <span class="twitter-click js-short-url-clicks"></span> </div> <ul class="centerarticle-reaction-menu"> <li class="js-add-star-container add-star-container"></li> </ul> </div> </div> </div> </div> <ul class="centerarticle-reaction-following js-user-following-bookmarks-icon"> </ul> <div class="js-user-following-bookmarks-detail is-hidden"> </div> </li> <li class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://note.com/kan_hatakeyama/n/nf83db3f1ec28?sub_rt=share_pb"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://note.com/kan_hatakeyama/n/nf83db3f1ec28?sub_rt=share_pb" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fnote.com%2Fkan_hatakeyama%2Fn%2Fnf83db3f1ec28" alt="">GPT-4o(Claude)に危険物取扱者試験(甲種試験)を解かせてみる-その8: 試験対策本のOCRと、それを使ったRAGでの回答|Kan Hatakeyama</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/kan_hatakeyama/n/nf83db3f1ec28" class="js-keyboard-entry-page-openable" title="GPT-4o(Claude)に危険物取扱者試験(甲種試験)を解かせてみる-その8: 試験対策本のOCRと、それを使ったRAGでの回答|Kan Hatakeyama (1ブックマーク)" data-gtm-click-label="user-bookmark-users">1 user</a> </span> </li> <li> <a href="/tomo31415926563/?url=https%3A%2F%2Fnote.com%2Fkan_hatakeyama" title="『note.com/kan_hatakeyama』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> note.com/kan_hatakeyama </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">とりあえず標準のOCRテキストを抽出するscansnapで生成した<a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">pdf</a>からテキストを抜いて、jsonにしておきます。 import f<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>z # PyMu<a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">PDF</a>をimport from tqdm import tqdm import json # <a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">PDF</a>ファイルを開く <a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">pdf</a>_path = "book/book.<a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">pdf</a>" document = f<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>z.open(<a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">pdf</a>_path) page_dict={} # ページごとにテキストを取得して表示 for page_num in tqdm(range(document.page_count)): page = document[page_num] <a data-gtm-click-label="entry-summary-keyword" href="/q/TeX">tex</a>t = page.get_<a data-gtm-click-label="entry-summary-keyword" href="/q/TeX">tex</a>t("<a data-gtm-click-label="entry-summary-keyword" href="/q/TeX">tex</a>t") # テキスト形式で取得 #print(f"Page {page_num + 1}:\n{<a data-gtm-click-label="entry-summary-keyword" href="/q/TeX">tex</a>t}\n") page_dict[page</p> <a href="https://note.com/kan_hatakeyama/n/nf83db3f1ec28" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/4c1f26b764a0e173787b1ff7398e0aa1223170cb/height=288;version=1;width=512/https%3A%2F%2Fd2l930y2yx77uc.cloudfront.net%2Fproduction%2Fsocial_images%2F1512130488e18d226ff51fadf7b06fbe06706057.png" alt="GPT-4o(Claude)に危険物取扱者試験(甲種試験)を解かせてみる-その8: 試験対策本のOCRと、それを使ったRAGでの回答|Kan Hatakeyama"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4761628723098767744"> 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