[B! 深層学習] R2Mのブックマーク

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class="centerarticle-entry-summary">{{{summary_with_keyword_links}}}</p> {{#has_image}} <a href="{{canonical_url}}" class="centerarticle-entry-image" target="_blank" rel="noopener{{#noreferrer}} noreferrer{{/noreferrer}}" data-gtm-click-label="user-bookmark-thumb"> <img src="{{image_url}}" alt="{{title}}"> </a> {{/has_image}} </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-{{location_id}}"> <div class="centerarticle-reaction-comment js-user-bookmark-comment {{badge_icon}}" data-url="{{url}}" data-user-name="{{author_name}}"> <a href="{{top_page_path}}" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="{{profile_icon_url}}" alt="{{author_name}}" title="{{author_name}}" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="{{anchor_url}}" class="js-anchor-path" data-gtm-click-label="user-reaction-username">{{author_name}}</a></span> <span class="centerarticle-reaction-timestamp">{{created}}</span> <span class="js-private-icon status {{#is_public}}is-hidden{{/is_public}}"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment">{{{comment_expanded}}}</span> <ul class="centerarticle-reaction-tags js-tag-text"> {{#tags}} <li><a href="/{{author_name}}/{{escaped_label}}/" data-gtm-click-label="user-reaction-tag">{{label}}</a></li> {{/tags}} </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="{{#is_bookmark}}comment-permalink{{/is_bookmark}}{{^is_bookmark}}original-permalink{{/is_bookmark}} js-comment-permalink"> <a href="{{comment_page_path}}" data-gtm-click-label="user-reaction-permalink" rel="{{#should_nofollow}}nofollow{{/should_nofollow}}">{{#is_bookmark}}リスト{{/is_bookmark}}{{^is_bookmark}}リンク{{/is_bookmark}}</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"> {{#following_bookmarks}} <li> <a href="{{anchor_url}}" class="following-bookmark-link" data-gtm-click-label="user-bookmark-following-bookmarker-icon"> <img src="{{profile_icon_url}}" alt="{{author_name}}" class="following-bookmark-icon" > </a> <span class="following-bookmark-popup"> <span class="following-bookmark-username">{{author_name}}</span><span class="following-bookmark-timestamp">{{created}}</span> <span class="following-bookmark-text"> {{ #comment }}<span class="following-bookmark-comment">{{ comment }}</span>{{ /comment }} <ul class="following-bookmark-tags"> {{ #tags }}<li>{{ label }}</li>{{ /tags }} </ul> </span> </span> </li> {{/following_bookmarks}} {{#following_bookmarks.length}} <li class="centerarticle-reaction-following-more"><button type="button" class="js-show-all-following-bookmarks" data-gtm-click-label="user-bookmark-showall-following-bookmarks">すべて表示</button></li> {{/following_bookmarks.length}} </ul> <div class="js-user-following-bookmarks-detail is-hidden"> {{#following_bookmarks}} <div class="centerarticle-reaction-comment js-user-bookmark-comment {{badge_icon}}" data-url="{{url}}" data-user-name="{{author_name}}"> <a href="{{top_page_path}}" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="{{profile_icon_url}}" alt="{{author_name}}" title="{{author_name}}" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="{{anchor_url}}" class="js-anchor-path" data-gtm-click-label="user-reaction-username">{{author_name}}</a></span> <span class="centerarticle-reaction-timestamp">{{created}}</span> <span class="js-private-icon status {{#is_public}}is-hidden{{/is_public}}"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment">{{{comment_expanded}}}</span> <ul class="centerarticle-reaction-tags js-tag-text"> {{#tags}} <li><a href="/{{author_name}}/{{escaped_label}}/" data-gtm-click-label="user-reaction-tag">{{label}}</a></li> {{/tags}} </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="{{#is_bookmark}}comment-permalink{{/is_bookmark}}{{^is_bookmark}}original-permalink{{/is_bookmark}} js-comment-permalink"> <a href="{{comment_page_path}}" data-gtm-click-label="user-reaction-permalink" rel="{{#should_nofollow}}nofollow{{/should_nofollow}}">{{#is_bookmark}}リスト{{/is_bookmark}}{{^is_bookmark}}リンク{{/is_bookmark}}</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> {{/following_bookmarks}} </div> </li> {{/is_wiped}} </script> <script type="text/x-template" id="template-following-bookmarker-icon"> <li> <a href="{{anchor_url}}" class="following-bookmark-link" data-gtm-click-label="user-bookmark-following-bookmarker-icon"> <img src="{{profile_icon_url}}" alt="{{author_name}}" class="following-bookmark-icon" > </a> <span class="following-bookmark-popup"> <span class="following-bookmark-username">{{author_name}}</span><span class="following-bookmark-timestamp">{{created}}</span> <span class="following-bookmark-text"> {{ #comment }}<span 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href="/entry/s/hayashiyus.jp/?p=3170" class="js-keyboard-entry-page-openable" title="注意機構・自由エネルギー原理・ニューラルネットの概念の獲得 (11ブックマーク)" data-gtm-click-label="user-bookmark-users">11 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fhayashiyus.jp%2F" title="『hayashiyus.jp』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> hayashiyus.jp </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">モダン・ホップフィールドネットと正準ニューラルネットには，どちらも生物学的妥当性をもつ再帰型ニューラルネットとして提案された，という共通点がある．この投稿では，モダン・ホップフィールドネットと正準ニューラルネットにまたがる共通点を掘り下げていくことによって，注意機構，自由エネルギー原理，そしてニューラルネットにおける概念の獲得という一見異なる容貌をした３つの概念が，隠れた水路を通じてお互いにつながり合うことを明らかにしたい． 1. ホップフィールドネット 1−1. モダン・ホップフィールドネットと注意機構モダン・ホップフィールドネットは，離散的な状態しか持たない古典的なホップフィールドネットを拡張したモデルで，連続的な状態とそれに対応した状態の更新式を備えている[1]．この新しいホップフィールドネットには，①多くのパターンを連想空間に保存する指数関数的な記憶容量を持ち，②1回の更新でパタ</p> <a href="https://hayashiyus.jp/?p=3170" 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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://joisino.hatenablog.com/entry/2024/09/30/173416"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://joisino.hatenablog.com/entry/2024/09/30/173416" 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%2Fjoisino.hatenablog.com%2Fentry%2F2024%2F09%2F30%2F173416" alt="">トランスフォーマーは RNN である - ｼﾞｮｲｼﾞｮｲｼﾞｮｲ</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/joisino.hatenablog.com/entry/2024/09/30/173416" class="js-keyboard-entry-page-openable" title="トランスフォーマーは RNN である - ｼﾞｮｲｼﾞｮｲｼﾞｮｲ (72ブックマーク)" data-gtm-click-label="user-bookmark-users">72 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fjoisino.hatenablog.com%2F" title="『joisino.hatenablog.com』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> joisino.hatenablog.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">拙著『深層ニューラルネットワークの高速化』が重版して第 2 刷となりました。皆さまありがとうございます！深層ニューラルネットワークの高速化 (ML Syst<a data-gtm-click-label="entry-summary-keyword" href="/q/EM">em</a>s) 作者:佐藤竜馬<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%8A%80%E8%A1%93">技術</a>評論社<a data-gtm-click-label="entry-summary-keyword" href="/q/Amazon">Amazon</a> もはや恒例、重版に感謝して書き下ろし専門記事をお届けします。 <a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>稿では、<a data-gtm-click-label="entry-summary-keyword" href="/q/SNS">SNS</a> などでもたびたび話題になる<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%88%E3%83%A9%E3%83%B3%E3%82%B9">トランス</a>フォーマーは RNN であるという話をします。<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>稿では単に形式的に包含性を指摘するだけでなく、<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%88%E3%83%A9%E3%83%B3%E3%82%B9">トランス</a>フォーマーと RNN はどの程度似ているのかや、そこから導かれる応用上の意味についても詳しくご紹介します。 <a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>稿は『深層ニューラルネットワークの高速化』の第 6.3 節と第 7.2 節に基づいています。過去回拡散モデルと最適輸送（最適輸送第 5 刷） GNN の最新動向（グラフニューラルネットワーク第 3 刷）深層学習で部分空間を扱うときは射影行列を考えるとよい（グラ</p> <a href="https://joisino.hatenablog.com/entry/2024/09/30/173416" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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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/shi3zblog/n/nfc8dd1abf494"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://note.com/shi3zblog/n/nfc8dd1abf494" 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%2Fshi3zblog%2Fn%2Fnfc8dd1abf494" alt="">これは衝撃!1.5Bで超高性能LLM!RWKV-5-World-v2｜shi3z</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/shi3zblog/n/nfc8dd1abf494" 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class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4744679576634563023/comment/R2M" 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://ai-scholar.tech/articles/large-language-models/is-emergence-a-mirage"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://ai-scholar.tech/articles/large-language-models/is-emergence-a-mirage" 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%2Fai-scholar.tech%2Farticles%2Flarge-language-models%2Fis-emergence-a-mirage" alt="">LLMの「創発」は幻影か</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/ai-scholar.tech/articles/large-language-models/is-emergence-a-mirage" class="js-keyboard-entry-page-openable" title="LLMの「創発」は幻影か (17ブックマーク)" data-gtm-click-label="user-bookmark-users">17 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fai-scholar.tech%2F" title="『ai-scholar.tech』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> ai-scholar.tech </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">3つの要点 ✔️ 大規模言語モデルで観察される創発を検証 ✔️ LLMの創発は評価指標が見せる幻影である可能性を示唆 ✔️ LLM以外のモデルにおいて特定の評価指標を用いることで意図的に実際には発生していない創発を再現することに成功 Are <a data-gtm-click-label="entry-summary-keyword" href="/q/EM">Em</a>ergent Abil<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ies of Large Language Models a Mirage? wr<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ten by Rylan Schaeffer, Brando Miranda, Sanmi Koyejo (Subm<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ted on 28 Apr <a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a> (v1), last revised 22 May <a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a> (this version, v2)) Comments: Pu<a data-gtm-click-label="entry-summary-keyword" href="/q/BL">bl</a>ished on arxiv. Subjects: Artificial Intelligence (cs.<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>); <a data-gtm-click-label="entry-summary-keyword" href="/q/mac">Mac</a>hine Learning (</p> <a href="https://ai-scholar.tech/articles/large-language-models/is-emergence-a-mirage" 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/931af54aafff1946ad6bf8735fa1dbafa6158f4b/height=288;version=1;width=512/https%3A%2F%2Faisholar.s3.ap-northeast-1.amazonaws.com%2Fmedia%2FOctober2023%2Fare_emergent_abilities_of_llm_a_mirage.png" alt="LLMの「創発」は幻影か"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4743719212315976943"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://ai-scholar.tech/articles/large-language-models/is-emergence-a-mirage" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="https://b.hatena.ne.jp/R2M/20231018#bookmark-4743719212315976943" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2023/10/18</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">深層学習</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4743719212315976943/comment/R2M" 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/sakusakumura/n/n6d67ec3c0de1"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://note.com/sakusakumura/n/n6d67ec3c0de1" 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%2Fsakusakumura%2Fn%2Fn6d67ec3c0de1" alt="">論文紹介: LLaVA-1.5 (Improved Baselines with Visual Instruction Tuning)｜Sakusakumura</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/sakusakumura/n/n6d67ec3c0de1" class="js-keyboard-entry-page-openable" title="論文紹介: LLaVA-1.5 (Improved Baselines with Visual Instruction Tuning)｜Sakusakumura (15ブックマーク)" data-gtm-click-label="user-bookmark-users">15 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fnote.com%2Fsakusakumura" title="『note.com/sakusakumura』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> note.com/sakusakumura </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">🚀 LLaVA-1.5 is out! 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Utilizes merely 1.2M pu<a data-gtm-click-label="entry-summary-keyword" href="/q/BL">bl</a>ic data, tr<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">ai</a>ns in ~1 day on a single 8-A100 node, and su<a data-gtm-click-label="entry-summary-keyword" href="/q/RPA">rpa</a>s<a data-gtm-click-label="entry-summary-keyword" href="/q/ses">ses</a> methods that use billion-scale data. 🔗https://t.co/y0kG0WZBVa 🧵1/5 pic.<a data-gtm-click-label="entry-summary-keyword" href="/q/twitter">twitter</a>.com/kMz0LTk63R — Haotian Liu (@imhaotian) October 6, <a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a> LLaVA-1.5は、今まで公開されているV&Lモデルの中で、初めて以下のスクリーンショットからそれぞれのキャラの順位を正しく答えることができました。「<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%82%A6%E3%83%9E%E5%A8%98">ウマ娘</a>」</p> <a href="https://note.com/sakusakumura/n/n6d67ec3c0de1" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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href="https://b.hatena.ne.jp/R2M/20231009#bookmark-4743277525698301423" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2023/10/09</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">深層学習</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4743277525698301423/comment/R2M" 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://zenn.dev/turing_motors/articles/6e0ac9deb2d2e5"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://zenn.dev/turing_motors/articles/6e0ac9deb2d2e5" 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%2Fzenn.dev%2Fturing_motors%2Farticles%2F6e0ac9deb2d2e5" alt="">作って遊ぼう！LLMを搭載した君だけのV&Lモデル！</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/zenn.dev/turing_motors/articles/6e0ac9deb2d2e5" class="js-keyboard-entry-page-openable" title="作って遊ぼう！LLMを搭載した君だけのV&Lモデル！ (86ブックマーク)" data-gtm-click-label="user-bookmark-users">86 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fzenn.dev%2Fturing_motors" title="『zenn.dev/turing_motors』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> zenn.dev/turing_motors </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">はじめに <a data-gtm-click-label="entry-summary-keyword" href="/q/TURING">Turing</a>のBr<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">ai</a>n Research teamで頑張ってる井ノ上です。(<a data-gtm-click-label="entry-summary-keyword" href="/q/twitter">Twitter</a>: いのいち) <a data-gtm-click-label="entry-summary-keyword" href="/q/TURING">Turing</a>は完全自動運転の開発を目指しており、その実現のためには賢い頭が必要だと考えています。その方法の一つとして、近年の大規模言語モデル（LLM）に見られるような文脈理解力をうまく取り入れられないかと考えており、LLMとVisionの情報をかけ合わせたモデルに注目して研究を行っています。自動運転とVision and languageモデルについては、ぜひこちらの記事を読んでみてください。今回の記事は<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>年7月に開催されたABCI LLMハッカソンで取り組んだときに開発していたG<a data-gtm-click-label="entry-summary-keyword" href="/q/it">IT</a>-LLMというモデルの開発について解説する記事となっています。途中のコードの解説部分などは少し退屈に感じるかもしれませんので、その場合はぜひ結果のパートだけでも見てみてください。いろい</p> <a href="https://zenn.dev/turing_motors/articles/6e0ac9deb2d2e5" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://natsutan.hatenablog.com/entry/2023/06/22/085947"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://natsutan.hatenablog.com/entry/2023/06/22/085947" 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%2Fnatsutan.hatenablog.com%2Fentry%2F2023%2F06%2F22%2F085947" alt="">初心者が言語モデルを勉強するための本（2023年6月版） - ぱたへね</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/natsutan.hatenablog.com/entry/2023/06/22/085947" class="js-keyboard-entry-page-openable" title="初心者が言語モデルを勉強するための本（2023年6月版） - ぱたへね (155ブックマーク)" data-gtm-click-label="user-bookmark-users">155 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fnatsutan.hatenablog.com%2F" title="『natsutan.hatenablog.com』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> natsutan.hatenablog.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">流行のLLMを勉強したくて沢山<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>を読みました。この後もしばらくLLM（GPT）関係の出版が続きそうなので、現状の<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>でまとめてみました。参考： nowokay.<a data-gtm-click-label="entry-summary-keyword" href="/q/hatena">hatena</a><a data-gtm-click-label="entry-summary-keyword" href="/q/BL">bl</a>og.com まとめ。 Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>erの仕組みを知りたい人で、画像のDeep Learningなら分かるって人はVision Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>er入門言語モデルをデータセットを作る所からやってみたい人には、作ってわかる! 自然言語処理<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a> とにかくすぐに動かしたい人には、<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92">機械学習</a><a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%82%A8%E3%83%B3%E3%82%B8%E3%83%8B%E3%82%A2">エンジニア</a>のためのTran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>ers ビジネス的に何ができるのかを知りたい人はBERT入門 Vision Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>er入門 Vison Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>erになっていますが、Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>erの説明がとても詳しくお勧めです。実際に写経してパーツパーツで動かせるのはこの<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>だけ。Tran<a data-gtm-click-label="entry-summary-keyword" href="/q/SF">sf</a><a data-gtm-click-label="entry-summary-keyword" href="/q/ORM">orm</a>er一点突破な</p> <a href="https://natsutan.hatenablog.com/entry/2023/06/22/085947" 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/2173c043e39f148d11ecb7f619801c0e2543a74f/height=288;version=1;width=512/https%3A%2F%2Fogimage.blog.st-hatena.com%2F13208692334729901849%2F820878482943520121%2F1687392922" alt="初心者が言語モデルを勉強するための本（2023年6月版） - ぱたへね"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4738272689772029093"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://natsutan.hatenablog.com/entry/2023/06/22/085947" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="https://b.hatena.ne.jp/R2M/20230622#bookmark-4738272689772029093" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2023/06/22</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">深層学習</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4738272689772029093/comment/R2M" 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://okumuralab.org/~okumura/misc/230611.html"> <div class="centerarticle-entry "> <h3 class="centerarticle-entry-title"> <a href="https://okumuralab.org/~okumura/misc/230611.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%2Fokumuralab.org%2F~okumura%2Fmisc%2F230611.html" alt="">「視覴」の謎</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/okumuralab.org/~okumura/misc/230611.html" class="js-keyboard-entry-page-openable" title="「視覴」の謎 (459ブックマーク)" data-gtm-click-label="user-bookmark-users">459 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fokumuralab.org%2F~okumura%2F" title="『okumuralab.org/~okumura』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> okumuralab.org/~okumura </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"><a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>が「視覴」という新語を発明したらしいことをフガクラさんのツイート（<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>-06-08 08:51:02 JST）で知る。すでに「視覴」は、いくつかの最近書かれたWebページで使われていた。<a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>で生成されたページらしい。ざっと検索して見つけたページを列挙しておく。いずれも最近作られたか修正されたページである（1件だけ2020年のページがあるが、最近修正されたものかどうか不明）。映像・音声編集におけるノーマライズの重要性！（<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>-05-11）「視覴的・聴覚的な一貫性」「視覴的な効果を最大化」「視覴的な混乱を避け」（2回）なお、このページは現在消えて視覴とは？<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>（<a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>）が出力した新しい言葉なのか？（<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>-06-08）にリダイレクトされ、「弊社では、<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>年3月より用語集作成に際し<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>ライティングの試験運用を行っておりますが、この度、「視覚」の誤</p> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4737777776157220901"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://okumuralab.org/~okumura/misc/230611.html" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="https://b.hatena.ne.jp/R2M/20230612#bookmark-4737777776157220901" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2023/06/12</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment">日本語はトークンの単位が英語と比べて文字単位？なのでトークン数に注意しなければならないという記事を見たな。しかし、こうつながるのか、面白い</span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/GPT/" data-gtm-click-label="user-reaction-tag">GPT</a></li> <li><a href="/R2M/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">深層学習</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4737777776157220901/comment/R2M" data-gtm-click-label="user-reaction-permalink" rel="">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/usutaku/n/n75b6f4bf4e05"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://note.com/usutaku/n/n75b6f4bf4e05" 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%2Fusutaku%2Fn%2Fn75b6f4bf4e05" alt="">ChatGPTに共通テスト（旧センター試験）を解かせてみた｜usutaku@AI情報解説</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/usutaku/n/n75b6f4bf4e05" class="js-keyboard-entry-page-openable" title="ChatGPTに共通テスト（旧センター試験）を解かせてみた｜usutaku@AI情報解説 (236ブックマーク)" data-gtm-click-label="user-bookmark-users">236 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fnote.com%2Fusutaku" title="『note.com/usutaku』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> note.com/usutaku </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">最近流行りの<a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>。「色々な作業を自動化した」「国家試験に合格した」ニュースで目にする機会も最近は多いと思います。では、<a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>は現段階でどのくらい賢いのでしょうか？「<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%B5%B7%E5%A4%96">海外</a>の司法試験で人間を超えた」などの情報をよく耳にしますが、実感が湧きませんよね。今回は日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>人に馴染みの深い大学入学共通テスト（旧センター試験）を題材に、その実力を検証してみました。実験方法今回は、令和４年度の国語・<a data-gtm-click-label="entry-summary-keyword" href="/q/%E8%8B%B1%E8%AA%9E">英語</a>（リーディング）・公民（倫理 / <a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%94%BF%E6%B2%BB">政治</a>・経済）の3科目について実験を行いました。 ※ <a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%95%B0%E5%AD%A6">数学</a>・理科等の科目については図表を読み取る問題が多く、正確に試験できないため今回は除外しました。ポイント①：テキストになおす大学入試センターで公表されている試験問題が<a data-gtm-click-label="entry-summary-keyword" href="/q/PDF">PDF</a>のため、<a data-gtm-click-label="entry-summary-keyword" href="/q/chatGpt">ChatGPT</a>に読めるテキスト形式にする必要があります。今回は<a data-gtm-click-label="entry-summary-keyword" href="/q/google">Google</a> Docsの機能を活用して<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%96%87%E5%AD%97%E8%B5%B7%E3%81%93%E3%81%97">文字起こし</a>し</p> <a href="https://note.com/usutaku/n/n75b6f4bf4e05" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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href="https://b.hatena.ne.jp/R2M/20230611#bookmark-4737778614213110405" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2023/06/11</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/GPT/" data-gtm-click-label="user-reaction-tag">GPT</a></li> <li><a href="/R2M/%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">深層学習</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4737778614213110405/comment/R2M" 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://blog.shibayu36.org/entry/2023/05/19/173000"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://blog.shibayu36.org/entry/2023/05/19/173000" 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%2Fblog.shibayu36.org%2Fentry%2F2023%2F05%2F19%2F173000" alt="">LLMを理解する一歩として「ゼロから作るDeep Learning」をやった - $shibayu36->blog;</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/blog.shibayu36.org/entry/2023/05/19/173000" class="js-keyboard-entry-page-openable" title="LLMを理解する一歩として「ゼロから作るDeep Learning」をやった - $shibayu36->blog; (337ブックマーク)" data-gtm-click-label="user-bookmark-users">337 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fblog.shibayu36.org%2F" title="『blog.shibayu36.org』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> blog.shibayu36.org </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">LLM、GPT界隈を追いかけていて、GPTの仕組みと限界についての考察（2.1） - conceptualizationという記事を見かけた。これを見たとき、「どういうことか全然理解できない」という気持ちになった。また、その他LLMの解説記事を理解できないことが多く、自分の<a data-gtm-click-label="entry-summary-keyword" 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class="centerarticle-entry-summary">１　はじめに前回このブログを使ったのは3年前のちょうどこの時期のようです。コロナ禍で少し遅れてオンラインで授業が始まって、授業準備をしているときにコロナ関連の情報をまとめておこうと思って書いた記事でした。で、その後3年がたち、コロナ禍は一応区切りを迎えているわけですが、新学期の授業を始めるにあたっていろいろ考えなければならないという意味ではそのときと同じような状況が（もちろんいろんな意味で位置づけは違うのですが）再び…。ということで、チャットGPTの話です。すでによく知られているようにこのアプリが登場したのは昨年11月、時期的には<a data-gtm-click-label="entry-summary-keyword" href="/q/2022">2022</a>年度後期にすでに広まっていた可能性はあったし、実際<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>の大学では一足早くレポートでの利用なんかが問題になったりしましたが、実質的にはこの4月から始まる<a data-gtm-click-label="entry-summary-keyword" href="/q/2023">2023</a>年度が、日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>の大学にとってチャットGPT元年ということになるのだと思います。具体的な話に</p> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4735087499128309733"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " 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