', {
+ 'href': gitbook.state.basePath + '/' + res.url,
+ 'text': res.title
+ });
+
+ var content = res.body.trim();
+ if (content.length > MAX_DESCRIPTION_SIZE) {
+ content = content.slice(0, MAX_DESCRIPTION_SIZE).trim()+'...';
+ }
+ var $content = $('').html(content);
+
+ $link.appendTo($title);
+ $title.appendTo($li);
+ $content.appendTo($li);
+ $li.appendTo($searchList);
+ });
+ }
+
+ function launchSearch(q) {
+ // Add class for loading
+ $body.addClass('with-search');
+ $body.addClass('search-loading');
+
+ // Launch search query
+ throttle(gitbook.search.query(q, 0, MAX_RESULTS)
+ .then(function(results) {
+ displayResults(results);
+ })
+ .always(function() {
+ $body.removeClass('search-loading');
+ }), 1000);
+ }
+
+ function closeSearch() {
+ $body.removeClass('with-search');
+ $bookSearchResults.removeClass('open');
+ }
+
+ function launchSearchFromQueryString() {
+ var q = getParameterByName('q');
+ if (q && q.length > 0) {
+ // Update search input
+ $searchInput.val(q);
+
+ // Launch search
+ launchSearch(q);
+ }
+ }
+
+ function bindSearch() {
+ // Bind DOM
+ $searchInput = $('#book-search-input input');
+ $bookSearchResults = $('#book-search-results');
+ $searchList = $bookSearchResults.find('.search-results-list');
+ $searchTitle = $bookSearchResults.find('.search-results-title');
+ $searchResultsCount = $searchTitle.find('.search-results-count');
+ $searchQuery = $searchTitle.find('.search-query');
+
+ // Launch query based on input content
+ function handleUpdate() {
+ var q = $searchInput.val();
+
+ if (q.length == 0) {
+ closeSearch();
+ }
+ else {
+ launchSearch(q);
+ }
+ }
+
+ // Detect true content change in search input
+ // Workaround for IE < 9
+ var propertyChangeUnbound = false;
+ $searchInput.on('propertychange', function(e) {
+ if (e.originalEvent.propertyName == 'value') {
+ handleUpdate();
+ }
+ });
+
+ // HTML5 (IE9 & others)
+ $searchInput.on('input', function(e) {
+ // Unbind propertychange event for IE9+
+ if (!propertyChangeUnbound) {
+ $(this).unbind('propertychange');
+ propertyChangeUnbound = true;
+ }
+
+ handleUpdate();
+ });
+
+ // Push to history on blur
+ $searchInput.on('blur', function(e) {
+ // Update history state
+ if (usePushState) {
+ var uri = updateQueryString('q', $(this).val());
+ history.pushState({ path: uri }, null, uri);
+ }
+ });
+ }
+
+ gitbook.events.on('page.change', function() {
+ bindSearch();
+ closeSearch();
+
+ // Launch search based on query parameter
+ if (gitbook.search.isInitialized()) {
+ launchSearchFromQueryString();
+ }
+ });
+
+ gitbook.events.on('search.ready', function() {
+ bindSearch();
+
+ // Launch search from query param at start
+ launchSearchFromQueryString();
+ });
+
+ function getParameterByName(name) {
+ var url = window.location.href;
+ name = name.replace(/[\[\]]/g, '\\$&');
+ var regex = new RegExp('[?&]' + name + '(=([^&#]*)|&|#|$)', 'i'),
+ results = regex.exec(url);
+ if (!results) return null;
+ if (!results[2]) return '';
+ return decodeURIComponent(results[2].replace(/\+/g, ' '));
+ }
+
+ function updateQueryString(key, value) {
+ value = encodeURIComponent(value);
+
+ var url = window.location.href;
+ var re = new RegExp('([?&])' + key + '=.*?(&|#|$)(.*)', 'gi'),
+ hash;
+
+ if (re.test(url)) {
+ if (typeof value !== 'undefined' && value !== null)
+ return url.replace(re, '$1' + key + '=' + value + '$2$3');
+ else {
+ hash = url.split('#');
+ url = hash[0].replace(re, '$1$3').replace(/(&|\?)$/, '');
+ if (typeof hash[1] !== 'undefined' && hash[1] !== null)
+ url += '#' + hash[1];
+ return url;
+ }
+ }
+ else {
+ if (typeof value !== 'undefined' && value !== null) {
+ var separator = url.indexOf('?') !== -1 ? '&' : '?';
+ hash = url.split('#');
+ url = hash[0] + separator + key + '=' + value;
+ if (typeof hash[1] !== 'undefined' && hash[1] !== null)
+ url += '#' + hash[1];
+ return url;
+ }
+ else
+ return url;
+ }
+ }
+});
diff --git a/ja-beta/gitbook/gitbook.js b/ja-beta/gitbook/gitbook.js
new file mode 100644
index 0000000..74e2b3b
--- /dev/null
+++ b/ja-beta/gitbook/gitbook.js
@@ -0,0 +1 @@
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a",function(e){o.isMobile()&&a(!1,!1)})},isOpen:s,toggle:a,filter:function(t){r(".book-summary").find("li").each(function(){var e=r(this).data("path"),e=null==t||-1!==t.indexOf(e);r(this).toggle(e),e&&r(this).parents("li").show()})}}},{"./platform":27,jquery:12}],29:[function(e,t,n){var l=e("jquery"),e=window.gitbook,r=[],o=0;function u(e){e.preventDefault()}function i(e){var t,o,n,r=l(".book-header"),i=r.find("h1"),a="pull-"+e.position,s=l("",{class:"btn",text:e.text?" 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+
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+ HOME · ailia DX Insight
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+ 大規模言語モデル(LLM)の導入による業務効率改善
+ ChatGPTを代表とする大規模言語モデル(LLM)の登場により、オフィスワークをAIで効率化する動きが加速しています。
+ 大規模言語モデルの業務活用が企業の競争力向上にも重視され、AIはDXの中心になりつつあります。
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diff --git a/ja-beta/md/AskAboutImage.md b/ja-beta/md/AskAboutImage.md
new file mode 100644
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+++ b/ja-beta/md/AskAboutImage.md
@@ -0,0 +1,17 @@
+# 画像ファイルについて質問する
+
+画像ファイルをインデックスに登録するとその画像について質問をすることができます。
+画面左上のアプリメニューは「チャット」にしておいてください。
+
+1. 画像ファイルを画面下のチャットボックスにドラッグ＆ドロップします。
+コードのコピー
+チャットでAIにコードを生成させた場合、AIからの回答の中のコードに該当する部分が小窓で表示されます。
+マークダウン形式で生成した場合も同様に小窓で表示され、右上のコピーボタンから対象のマークダウン記述のみをコピーすることができます。
+
+
+設定画面の「コンフィグファイル」項目内にてライセンスの有効期限を確認することができます。
+
+ailia DX InsightではRAGを使用することによって回答性能を向上させています。[RAGについてはこちらをご確認ください。](RAG.md)
+ファイルビューの項目の左上の記号から、ディレクトリ間を移動することができます。
+設定の中にあるファイルビューの項目から起動時の初期ディレクトリを選択することができます。
画像の編集画面で左上の「すべてを選択」を押すことで、画面全体を選択することができます。
+
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+
+##### [概要](overview.md)
+
+##### [セットアップ](SetUp.md)
+
+##### [主な操作方法](MainOperation.md)
+
+##### [AIを使う](UseAI.md)
+
+/Users/[UserName]/Documents(*)/ailia DX Insight/ffmpeg/~/Documents(*)/ailia DX Insight/ffmpeg//usr/local/bin//opt/homebrew/bin//opt/local/bin/ダウンロード して、zipを解凍します。
+## インストーラの起動
+Windowsの場合は、aillia_dx_insight.msixをダブルクリックしてインストーラを起動します。 macOSの場合は、ailia_dx_insight.dmgを右クリックして開くで起動します。
翻訳元のテキストに並んでAIが翻訳した結果が表示されます。翻訳結果の右下にある「保存」ボタンを押すと、翻訳結果をファイルとして保存することができます。
+aillia DX insightでは下記の機能を使用可能です。各機能で使用されるモデルと実行環境は下記となります。
+
+
+
+## 対応ファイルフォーマット
+ailia DX Insightがサポートしている形式は下記となります。
+
+###### 一般的なオフィス系ドキュメントフォーマット
+`pdf, doc, docx, txt, md, xlsx, csv, tex, css, html`
+
+###### プログラム系ドキュメントフォーマット
+`c, cpp, json, java, py, rb, php`https://github.com/microsoft/msix-packaging/issues/365 ）c:/Users/[UserName]/Documents(*)/ailia DX Insightに保存されているため、保持されます。
+
+（*）「マイドキュメント」と表示されることもあります。
+
+## Macの場合
+ailia_dx_insight.dmgを開き、ailia_dx_insight.appをApplicationフォルダにドロップすることで上書きします。
+
+## コンフィグファイルの更新
+ailia DX Insight 1.0でコンフィグファイルを使用している場合、コンフィグファイルの更新が必要です。ailia DX Insight 1.1の初回起動時に、下記のダイアログが表示されるため、コンフィグファイルのパスを設定してください。概要 · ailia DX Insight
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+ 概要
+ ailia DX Insightは、ax株式会社および株式会社アクセルが提供する、企業のDXのためのAIスーパーアプリです。
+
+ 機能
+ aillia DX insightでは下記の機能を使用可能です。各機能で使用されるモデルと実行環境は下記となります。
+
+
+ 対応ファイルフォーマット
+ ailia DX Insightがサポートしている形式は下記となります。
+ 一般的なオフィス系ドキュメントフォーマット
+ pdf, doc, docx, txt, md, xlsx, csv, tex, css, html
+ プログラム系ドキュメントフォーマット
+ c, cpp, json, java, py, rb, php
+ js, swift, .kt, rust, dart, luaは設定
+
+ 画像フォーマット
+ 'png', 'jpg', 'jpeg'
+ 音声フォーマット
+ 'wav'
+ ファイルの保存先
+ ailia DX Insightは下記のフォルダにデータベースやモデルファイルを保存します。このフォルダを削除することで、ailia DX Insightを初期化することができます。Windows : c:/Users/[UserName]/Documents(*)/ailia DX InsightmacOS : ~/Documents(*)/ailia DX Insight
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diff --git a/ja-beta/package-lock.json b/ja-beta/package-lock.json
new file mode 100644
index 0000000..2dda10a
--- /dev/null
+++ b/ja-beta/package-lock.json
@@ -0,0 +1,2574 @@
+{
+ "name": "newbook",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "dependencies": {
+ "gitbook-plugin-back-to-top-button": "^0.1.4",
+ "gitbook-plugin-intopic-toc": "^1.1.1"
+ },
+ "devDependencies": {
+ "honkit": "^5.1.1"
+ }
+ },
+ "node_modules/@asciidoctor/cli": {
+ "version": "3.5.0",
+ "resolved": "https://registry.npmjs.org/@asciidoctor/cli/-/cli-3.5.0.tgz",
+ "integrity": "sha512-/VMHXcZBnZ9vgWfmqk9Hu0x0gMjPLup0YGq/xA8qCQuk11kUIZNMVQwgSsIUzOEwJqIUD7CgncJdtfwv1Ndxuw==",
+ "dev": true,
+ "dependencies": {
+ "yargs": "16.2.0"
+ },
+ "bin": {
+ "asciidoctor": "bin/asciidoctor",
+ "asciidoctorjs": "bin/asciidoctor"
+ },
+ "engines": {
+ "node": ">=8.11",
+ "npm": ">=5.0.0"
+ },
+ "peerDependencies": {
+ "@asciidoctor/core": "^2.0.0-rc.1"
+ }
+ },
+ "node_modules/@asciidoctor/core": {
+ "version": "2.2.8",
+ "resolved": "https://registry.npmjs.org/@asciidoctor/core/-/core-2.2.8.tgz",
+ "integrity": "sha512-oozXk7ZO1RAd/KLFLkKOhqTcG4GO3CV44WwOFg2gMcCsqCUTarvMT7xERIoWW2WurKbB0/ce+98r01p8xPOlBw==",
+ "dev": true,
+ "dependencies": {
+ "asciidoctor-opal-runtime": "0.3.3",
+ "unxhr": "1.0.1"
+ },
+ "engines": {
+ "node": ">=8.11",
+ "npm": ">=5.0.0",
+ "yarn": ">=1.1.0"
+ }
+ },
+ "node_modules/@honkit/asciidoc": {
+ "version": "5.1.4",
+ "resolved": "https://registry.npmjs.org/@honkit/asciidoc/-/asciidoc-5.1.4.tgz",
+ "integrity": "sha512-wWgUpuQPa7W/RY3ikAXqpTWIR/oYkM6iywZDPfnyPOHQWUVi7p73/VMf9MTj0+yl83qwjy8TiMoSJIAxxmju6Q==",
+ "dev": true,
+ "dependencies": {
+ "@honkit/html": "^5.1.4",
+ "asciidoctor": "^2.2.0",
+ "lodash": "^4.13.1"
+ }
+ },
+ "node_modules/@honkit/honkit-plugin-highlight": {
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diff --git a/ja-beta/package.json b/ja-beta/package.json
new file mode 100644
index 0000000..ca5a0ab
--- /dev/null
+++ b/ja-beta/package.json
@@ -0,0 +1,9 @@
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+}
\ No newline at end of file
diff --git a/ja-beta/search_index.json b/ja-beta/search_index.json
new file mode 100644
index 0000000..2c1e577
--- /dev/null
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","議事録を取る","議事録画面の左側に並ぶ議事録をクリックすると、記録した議事録を見ることができます。","質問に対する情報検索はオフラインで動作するため安全かつ低コストです。","質問内容をマイクに向かって話します","起動されたブラウザで「氏名」「組織名（オプション）」「生年月日」を入力し、規約、プライバシーポリシーを確認後、同意するを選択します。","起動に必要なライセンスファイルはmacosの場合は[home]/library/shalo、windowsの場合は[root]/programdata/shaloに格納されます。","通常のチャットに戻る場合には「絞り込みを解除」をクリックします。","選択した画像に類似した画像を検索することができます。","電話番号を入力し、「send","電話番号を登録する","電話番号宛てにopenai認証コードがショートメッセージが届くので、次の画面で入力し、電話番号の登録が完了となります。","音声フォーマット","音声入力","音声入力を利用する場合","音声認識","音声認識aiによって、手を動かすことなく議事録を取ることができます。","音声認識に必要なaiモデルのダウンロードがお済みでない場合は、ダウンロードが開始されます。","頻繁に開くフォルダをブックマークに追加することができます。","類似度順に検索結果が表示されます。表示された検索結果をクリックすると、全ての画像が類似度順に並べられグリッド表示されます。","９トークン","＞"],"pipeline":["stopWordFilter","stemmer"]},"store":{"./":{"url":"./","title":"HOME","keywords":"","body":"\n大規模言語モデル(LLM)の導入による業務効率改善\nChatGPTを代表とする大規模言語モデル(LLM)の登場により、オフィスワークをAIで効率化する動きが加速しています。\n大規模言語モデルの業務活用が企業の競争力向上にも重視され、AIはDXの中心になりつつあります。\n「ailia DX Insight」は、大規模言語モデルをオフィスワークに導入させ、さまざまな業務を多角的にサポートします。\n概要\nセットアップ\nファイルビューの操作\nファイルをインデックス登録する\nAIを使う\n\n次のページへ ＞\n"},"overview.html":{"url":"overview.html","title":"概要","keywords":"","body":"概要\nailia DX Insightは、ax株式会社および株式会社アクセルが提供する、企業のDXのためのAIスーパーアプリです。\nWindowsやmacOSにインストールするだけで誰でもAIを業務に活用可能です。\n大規模言語モデルに文章検索や画像検索、音声認識、企業内情報検索などailia独自のAIをプラスすることで、\nAIを使った業務効率の改善が簡単に行えます。\n\n機能\naillia DX insightでは下記の機能を使用可能です。各機能で使用されるモデルと実行環境は下記となります。\n\n \n \n \n 機能\n クラウドで動作\n 端末上で動作\n \n \n \n \n 文章検索（RAG）\n ChatGPT、Azure OpenAI、Gemini、Claude(* 準備中)（回答生成）\n ailia SDK（インデックス作成、ベクトル検索、Re-Rank機能）、カスタムLLM（回答生成）\n \n \n 画像生成\n DALLE\n StableDiffusion(* 準備中)\n \n \n 要約・アイデア出し\n ChatGPT、Azure OpenAI、Gemini、Claude(* 準備中)（回答生成）\n カスタムLLM\n \n \n 翻訳\n ChatGPT、Azure OpenAI、Gemini、Claude(* 準備中)（回答生成）\n ailia SDK、カスタムLLM\n \n \n 画像検索\n -\n ailia SDK\n \n \n 音声入力\n -\n ailia SDK\n \n \n 音声認識\n -\n ailia SDK\n \n \n 議事録\n -\n ailia SDK\n \n \n OCR\n Azure AI Vision(* 準備中)\n ailia SDK\n \n \n \n\n\n対応ファイルフォーマット\nailia DX Insightがサポートしている形式は下記となります。\n一般的なオフィス系ドキュメントフォーマット\npdf, doc, docx, txt, md, xlsx, csv, tex, css, html\nプログラム系ドキュメントフォーマット\nc, cpp, json, java, py, rb, php\n\njs, swift, .kt, rust, dart, luaは設定/インデックスから追加することができます。\n\n画像フォーマット\n 'png', 'jpg', 'jpeg'\n音声フォーマット\n'wav'\nファイルの保存先\nailia DX Insightは下記のフォルダにデータベースやモデルファイルを保存します。このフォルダを削除することで、ailia DX Insightを初期化することができます。\nWindows : c:/Users/[UserName]/Documents(*)/ailia DX Insight\nmacOS : ~/Documents(*)/ailia DX Insight\n\n(*)Windowsでは「マイドキュメント」、Macでは「書類」と表示されることもあります。\n\n次のページへ ＞\n"},"SetUp.html":{"url":"SetUp.html","title":"セットアップ","keywords":"","body":"セットアップ\nダウンロード\nailia DX Insightをダウンロードして、zipを解凍します。\nインストーラの起動\nWindowsの場合は、aillia_dx_insight.msixをダブルクリックしてインストーラを起動します。 macOSの場合は、ailia_dx_insight.dmgを右クリックして開くで起動します。\n\nライセンスもしくはコンフィグファイルの選択\n初回起動時に「ライセンスもしくはコンフィグファイルを選択してください」とウィンドウに表示されます。ライセンスファイルをフォルダから選択します。\n起動に必要なライセンスファイルはmacOSの場合は[HOME]/Library/SHALO、windowsの場合は[ROOT]/ProgramData/SHALOに格納されます。\n\nコンフィグファイルを選択することでアプリケーションをカスタマイズすることができます。\nOpenAIのAPIキーの取得\nOpenAIのWEBページでアカウント登録を行い、OpenAIのAPIキーを取得します。 OpenAIのAPIキーを入力しなくてもailia DX Insightは使用できますが、機能が制限されます。\nセットアップ\nライセンスもしくはコンフィグファイルを選択後、チュートリアル画面が表示されます。\n\nチュートリアルの最終画面にて、OpenAI APIキーの設定が可能です。\nOpenAI APIキーの設定\nチュートリアルから設定する場合\n\nチュートリアルの最後、「APIキーの設定」まで進みます。\n「OpenAI APIキー」の下にあるテキストボックスに、\"sk-\"から始まるOpenAI APIキーを入力します。\n\n「完了」ボタンを押します。通常画面から設定する場合\n\n画面右上にある歯車アイコンを押します。\n\n表示されたダイアログ内のテキストボックスに、\"sk-\"から始まるOpenAIのAPIキーを入力します。\n\n「OpenAI」をクリックして、使用するchatGPTのバージョンを選択し、「閉じる」ボタンを押します。AIモデルのダウンロード\n初回起動時のチュートリアルの終了後、AIモデルのダウンロードが開始されます。\nダウンロードの進捗は左のサイドバー下部にて確認できます。\n\nダウンロード完了後、ailia DX Insightが使用可能となります。\n\n\n次のページへ ＞\n"},"MainOperation.html":{"url":"MainOperation.html","title":"主な操作方法","keywords":"","body":"主な操作方法\n画面構成\naillia DX insightの主な画面構成\n\n1. アプリメニュー\n使用したいailia DX insightの機能をカテゴリの中から選ぶことができます。\n2. チュートリアル\nailia DX insightのチュートリアルをいつでもここから確認できます。\n3. 設定\nアプリに関する各種設定をここから行います。\n4. サイドバー\nアプリ中央に表示させるものを選ぶことができます。フォルダのブックマーク機能があり、ファイルアプリ内で使用するファイルを使いやすくまとめることができます。\n5. チャットボックス\nAIに質問や、画像生成のプロンプト、翻訳するテキストをここに入力します。何も入力せずに右のマイクをクリックすることで音声入力を行うことができます。\n6. ダウンロードステータス\n各種ダウンロードを行う際に進行状況がこちらに表示されます。\n7. ステータスバー\nファイルサイズ、インデックス登録の有無等、選択中のファイルに関する情報を確認することができます。\n\n次のページへ ＞\n"},"FileView.html":{"url":"FileView.html","title":"ファイルビューの操作","keywords":"","body":"ファイルビューの操作\nファイルの並び順を変える\nファイルビュー上部に並んでいる項目名をクリックすると、ファイルの並び順が変わります。\n\n\nファイル名で並び替え\n「ファイル名」をクリックすると、名前順(A-Z/Z-A)に並びます。\n\nファイルサイズで並び替え\n「サイズ」をクリックすると、サイズが大きい/小さい順に並びます。\n\nインデックス登録の有無で並び替え\n「AIステータス」をクリックすると、インデックス登録済/未登録で並びます。\n\n更新日時で並び替え\n「更新日時」をクリックすると、ファイルの更新日時の新しい/古い順に並びます。\n\n\n\nファイルの表示方法を変える\nファイルビューの右上にある表示モードボタンをクリックすると、ファイルの表示方法（リスト表示/グリッド表示）を変えることができます。\nグリッド表示では、画像ファイルのサムネイルがグリッド状に並びます。\n\n\nフォルダをブックマークに追加する\n頻繁に開くフォルダをブックマークに追加することができます。\n\nブックマークに追加したいフォルダにカーソルを合わせ右クリックし、「このフォルダをブックマークに追加する」を選択します。\n\n左のサイドバーにあるブックマークにフォルダが追加されます。\n\n\n\nフォルダをブックマークから削除する\nこの操作ではフォルダ本体の削除は行われません。\n\n左サイドバーにあるブックマーク内の、削除したいフォルダを右クリックし、「このフォルダをブックマークから削除」を選択します\n\nブックマークからフォルダが削除されます。\n\n\n次のページへ ＞\n"},"IndexRegister.html":{"url":"IndexRegister.html","title":"ファイルをインデックスに登録する","keywords":"","body":"ファイルをインデックスに登録する\nファイルをインデックス登録することでAI機能を活用した各種機能をそのファイルに対して実行することが出来ます。\n文書ファイルについて質問する\n文書ファイルを要約する\n文書ファイルを翻訳する\n画像を検索する\nファイルをインデックス登録する\n\n登録したいファイルを右クリックし、「このファイルをインデックスに追加」を選択します。選択したファイルのAIステータスアイコンが となれば、登録完了です。\n\nフォルダを右クリックし、「このフォルダ内のファイルをインデックスに追加」を選択すると、フォルダ内の全てのファイルをインデックス登録することができます。\n\n\nファイルをインデックスから削除する\n\nインデックスから削除したい場合、登録済のファイルを右クリックし、「このファイルをインデックスから削除」を選択します。選択したファイルのAIステータスアイコンが となれば、削除完了です。\n\n\n\n次のページへ ＞\n"},"ConfigFile.html":{"url":"ConfigFile.html","title":"コンフィグファイルを作成する","keywords":"","body":"コンフィグファイルを作成する\nコンフィグファイルを作成することによって利用規約の画像をアプリケーション起動時に表示させたり、企業ロゴを常時表示させることができます。\n※コンフィグファイルはailia DX Insightの初回起動時に選択することができます。\n\n\nコンフィグファイルの作成例\nコンフィグのファイルフォーマットはjsonで作成してください。\n{\n \"apiKey\" : {\n \"openAI\": \"YourOpenAIApiKey\"\n },\n \"licenseFile\": \"/path/to/license/file\",\n \"terms\": {\n \"image\": \"/path/to/terms/image\"\n },\n \"logo\": \"path/to/logo/image\"\n}\n\"apiKey\"\nOpenAIのAPIキーをこちらに入力します。\n\"licenseFile\"\nライセンスファイルへのパスをコンフィグファイルからの相対パスで指定します。\n\"terms\" \"logo\"\n画像ファイルへのパスをコンフィグファイルからの相対パスで指定します。\nライセンスファイル以外の項目は省略してもアプリの起動には影響はありません。\nコンフィグファイルの適用\nailia DX Insightの初回起動時に「ライセンスファイルもしくはコンフィグファイルを選択してください」というウィンドウが表示されます。フォルダを指定して適用させてください。\n作成したコンフィグファイルは、社内の共有フォルダなどに配置してください。\n\n設定や画像ファイルはローカルにコピーされるため、初期設定以外では共有フォルダへのアクセスは不要です。\n\n次のページへ ＞\n"},"UseAI.html":{"url":"UseAI.html","title":"AIを使う","keywords":"","body":"AIを使う\naillia DX insightで出来ること\nAIに質問する\n文書ファイルについて質問する\n文書ファイルを要約する\n文書ファイルを翻訳する\n画像を検索する\n画像を生成する\n議事録を取る\n\n次のページへ ＞\n"},"AskToAI.html":{"url":"AskToAI.html","title":"AIに質問する","keywords":"","body":"AIに質問する\nAIにチャットで質問する\n\n画面左上のアプリメニューを開き、一覧の中から「チャット」を選択します。（起動時のデフォルトではチャットの状態になっています）\n\n\n画面中央下のチャットボックスに質問を入力し、送信ボタンをクリック（またはWindowsの場合はCtrl + Enter、macOSの場合はCmd + Enter）します。\n\n\nAIからの回答が表示されます。\n音声入力を利用する場合\n\n\n次のページへ ＞\n一覧に戻る\n"},"DocumentFile.html":{"url":"DocumentFile.html","title":"文書ファイルについて質問する","keywords":"","body":"文書ファイルについて質問する\n文書ファイルをインデックスに登録すると、登録した文書に記載された情報についてAIに質問することができます。\n\nファイルをインデックス登録する方法についてはこちらをご確認ください。\n文書ファイル内の情報について質問する\n\n画面左上のアプリメニューから「チャット」を選択します。\n\n\nインデックスから質問したい文書ファイルを右クリックし、「この文章を対象にチャット」を選択します。\n\n\nフォルダを右クリックすることで、「このフォルダを対象にチャット」を行うことができます。\nフォルダをブックマークしておくことでブックマークからも「このフォルダを対象にチャット」を選択できます。\n\n\n\n指定されたファイル、またはフォルダが上部に表示されていることを確認します。\n\n\nチャットボックスの右側の表示が「RAG」となるので、質問を入力し、送信します。\n\n\nAIが関連するファイルを調べた回答が表示されます。（検索はローカルAIで行われます）\n\n\n\n\n\n生成された回答を上にスクロールしてくと、AIが参照した文章が表示されます。\n参照された文章をクリックすることで参照箇所を確認することができます。\n\n\n\n\n通常のチャットに戻る場合には「絞り込みを解除」をクリックします。\n\n\nRAG\nailia DX Insightは回答を生成する際、Retrieval-Augmented Generation（RAG）を使用することで出力結果の根拠を明確にし、事実に基づかない情報の生成を抑制しています。\nRAGに関して、詳しくはこちらをご参照ください。\n\n次のページへ ＞\n一覧に戻る\n"},"SummarizeDocument.html":{"url":"SummarizeDocument.html","title":"文書ファイルを要約する","keywords":"","body":"文書ファイルを要約する。\n文書ファイルをインデックスに登録すると、登録した文書ファイルに記載された情報についてAIに要約させることができます。\n\nファイルをインデックス登録する方法についてはこちらをご確認ください。\n\n画面左上のアプリメニューから「テキスト要約」を選択します。\n\n要約したいファイルを右クリックし、「要約」をクリックします。\n\nAIが要約した結果が表示されます。\n\n\n次のページへ ＞\n一覧に戻る\n"},"Translation.html":{"url":"Translation.html","title":"文書ファイルを翻訳する","keywords":"","body":"文書ファイルを翻訳する\n文書ファイルをインデックスに登録すると、登録した文書ファイルをAI機能によって翻訳することができます。\n画面中央下のチャットボックスに文書を直接入力することで、その文書を翻訳することもできます。\nファイルをインデックス登録する方法についてはこちらをご確認ください。\n\n画面左上のアプリメニューから「テキスト翻訳」を選択します。\n\n翻訳したいファイルを右クリックし、「翻訳」をクリックします。 対応しているファイルフォーマットはpdf, txt, md, docx, xlsx,です。\n\nAIが翻訳した結果が表示されます。翻訳結果の右下にある「保存」ボタンを押すと、翻訳結果をファイルとして保存することができます。 \n\n\n文章を翻訳する\n日本語で書かれた文章は英語へ、日本語以外の言語で書かれた文は日本語へ翻訳されます。\n\n画面左上のアプリメニューから「テキスト翻訳」を選択します。\n\n翻訳したい文書を画面中央下のチャットボックスに入力し、送信します。\nAIが翻訳した結果が表示されます。\n\n\n次のページへ ＞\n一覧に戻る\n"},"SearchImage.html":{"url":"SearchImage.html","title":"画像を検索する","keywords":"","body":"画像を検索する\n画像ファイルをインデックス登録することで、類似画像検索を行うことができます。 インデックス登録された画像ファイルを対象に検索が実行されます。 テキストによる検索と、画像による検索の２通りの検索方法があります。\nファイルをインデックス登録する方法についてはこちらをご確認ください。\nテキストで検索\n検索ワードに類似した画像を検索することができます。\n\n画面左上のアプリメニューから「画像検索」を選択します。\n\nチャットボックスに検索ワードを入力し、送信します。\n類似度順に検索結果が表示されます。表示された検索結果をクリックすると、全ての画像が類似度順に並べられグリッド表示されます。\n\n\n画像で検索\n選択した画像に類似した画像を検索することができます。 画像はインデックス登録済である必要があります。\n\n「画像検索」モードの状態で検索したい画像ファイルを右クリックし、「この画像で類似検索」を選択します。\n\n類似度順に検索結果が表示されます。表示された検索結果をクリックすると、全ての画像が類似度順に並べられグリッド表示されます。\n\n\n次のページへ ＞\n一覧に戻る\n"},"GenerateImage.html":{"url":"GenerateImage.html","title":"画像を生成する","keywords":"","body":"画像を生成する\nチャットボックスに入力した文書を元にAIによる画像生成を行うことができます。\n※画像生成にはDALL-Eを使用するため、GPT-4以降で動作します。\n※GPTのバージョンは設定の中の「チャットAI」の項目の中で「OpenAI」をクリックすると選択できます。\n\n画面左上のアプリメニューから「画像生成」を選択します。\n\n生成したい画像の概要を入力し、送信します。\nAIが画像を生成した結果が表示されます。\n\n\n\n\n次のページへ ＞\n一覧に戻る\n"},"Recording.html":{"url":"Recording.html","title":"議事録を取る","keywords":"","body":"議事録を取る\n音声認識AIによって、手を動かすことなく議事録を取ることができます。\n\n画面左上のアプリメニューから「議事録作成」をクリックし、議事録画面を開きます。\n\n画面右上の「場所を入力」に会議場所を入力します。会議名を変更することもできます。\n\n画面下部の「記録を開始」ボタンをクリックし、議事録の記録を開始します。\n\n音声認識に必要なAIモデルのダウンロードがお済みでない場合は、ダウンロードが開始されます。 ダウンロード完了後より利用可能となります。\n記録を終えるタイミングで、画面下部の「記録を停止」ボタンをクリックし、議事録を保存します。\n\n\n\n記録した議事録を確認する\n議事録画面の左側に並ぶ議事録をクリックすると、記録した議事録を見ることができます。\n\n記録された文の右側にあるボタンをクリックすると、文の訂正ができます。\n\nまた、画面下部の「記録を開始」ボタンをクリックすることで、再度議事録を記録することができます。\n\n次のページへ ＞\n一覧に戻る\n"},"VoiceInput.html":{"url":"VoiceInput.html","title":"音声入力を利用する場合","keywords":"","body":"音声入力を利用する場合\n\n文章入力前のチャットボックス右のマイクアイコンをクリックします。\n\n※当アプリをインストール後、初めてマイクアイコンをクリックした場合、音声認識に必要なAIモデルのダウンロードが開始されます。 ダウンロード完了後より音声入力が利用可能となります。\n\n質問内容をマイクに向かって話します\n再度マイクボタンをクリックし音声入力を完了します。\n\n\n次のページへ ＞\n一覧に戻る\n"},"Security.html":{"url":"Security.html","title":"セキュアな環境構築","keywords":"","body":"セキュアな環境構築\nailia DX Insightはオフラインとオンラインのハイブリッドです。\n質問に対する情報検索はオフラインで動作するため安全かつ低コストです。\n\nカスタムLLM\nailia DX Insightは、文章の生成をChatGPTで行います。 ChatGPTを使用する場合、クラウドへのデータ転送を伴うので、使用を制限せざるを得ないケースがあります。 ailia DX insightでは、ローカルに構築したカスタムLLMを接続することが可能です。 これにより、完全にセキュアな環境でailia DX Insightを動作させることが可能です。\n\nカスタムLLMの設定方法はこちらから\n\n次のページへ ＞\n"},"CustomLLM.html":{"url":"CustomLLM.html","title":"カスタムLLMの設定","keywords":"","body":"カスタムLLMの設定\nカスタムLLMのサーバの構築\nChatGPTの互換サーバについて\nailia DX insightはChatGPTの互換サーバに対応しています。この章では、FastChatを使ってカスタムLLMをChatGPT API互換サーバーとして使用する方法を採用します。\nFastChatのインストール\nサーバーを立てる端末にpythonモジュールとしてfschatをインストールします。\npip3 install fschat\nサーバの起動\nvicuna-7b-v1.5をChatGPT API互換サーバーとして起動します。\npython3 -m fastchat.serve.controller\npython3 -m fastchat.serve.model_worker –model-names “vicuna” –model-path lmsys/vicuna-7b-v1.5 –load-8bit\npython3 -m fastchat.serve.openai_api_server –-host localhost –-port 8000\nカスタムLLMのクライアントの設定\n設定画面の呼び出し\n\nailia DX insightの初期画面にて、右上の歯車アイコンをクリックして設定ウィンドウを表示させます。\n\n「チャットAI」の項目の中にある「カスタム（OpenAIサーバー）」をクリックし、「+追加」を選択します。\n\n\nカスタムモデル登録\nカスタムモデル登録ウィンドウが開きます。各項目を記入します。\n\n\n名前：使用するLLMの名称 (UI表示にのみ使用するため何でも構わない)\n説明：必要に応じてメモとして使用\nモデル：OpenAI互換APIサーバーで指定したモデル名 (gpt-3.5-turbo等)\nURL(*)：OpenAI互換APIサーバーが発信しているIPアドレスとport番号 (サーバー公開が–host 192.168.1.10 –port 8000の場合、http://192.168.1.10:8000)\n最大トークン長：モデルの対応している最大トークン数を設定（4096以上の値を設定する、この値に応じてRAGのtopKが決定される）\n\n\n(*)未記入の場合、HTTPの接続エラーになります。\n\n次のページへ ＞\n"},"RAG.html":{"url":"RAG.html","title":"RAGによる回答精度の向上","keywords":"","body":"RAGによる回答精度の向上\nRAGとは\nRetrieval-Augmented Generation（RAG）とは大規模言語モデル（LLM）によるテキスト生成と外部情報の検索を組み合わせることで、事実に基づかない情報の生成を抑制し、AIによる回答精度を向上させる技術のことです。\n\nChatGPTにはトークン数に上限があるため、大量の文書をそのまま供給することはできません。\nそのため、ailia DX InsightではRAGによる情報検索を事前に行い、その一部を元に回答を生成されることが行われています。\n\n最大トークン数について\nchatgpt-3.5 : 2k\nchatgpt-3.5-turbo (16kと統合された）：16k\nchatgpt-4 : 8k\nchatgpt-4-turbo : 128k\nトークン数が多いほど、複数チャンクの情報をまとめて投入可能で、精度が向上します。\nただし、その分回答が遅くなったり、コストが高くなります。\nRAGの設定\n\nailia DX insightの初期画面にて、右上の歯車アイコンをクリックして設定ウィンドウを表示させます。\n\n左側の項目から「RAG」を選択します。\n\nリランク、TOPKについて設定することができます。\n\n\n次のページへ ＞\n"},"Embedding.html":{"url":"Embedding.html","title":"エンベディングについて","keywords":"","body":"エンベディングとは\nエンベディング（Embedding）とはチャンクのテキストをベクトルデータに変換する技術です。\nベクトル間の距離を計算することで、テキストとテキストの意味が近いかを判定可能です。\nRAGでは、質問文のテキストのベクトルと、チャンクのベクトルの距離を計測することで、質問文に近いチャンクを検索します。\n\n\n次のページへ ＞\n"},"AzureOpenAI.html":{"url":"AzureOpenAI.html","title":"Azure OpenAI Service","keywords":"","body":"Azure OpenAI Service\nailia DX insightは、文章の生成をChatGPTで行います。\nOpenAI APIだけでなく、Azure OpenAI Serviceを介してChatGPTを利用することも可能です。\nAzure OpenAI Serviceについての詳細はこちらをご覧ください。\nAzure OpenAI Serviceへの接続方法\n設定画面の呼び出し\n\nailia DX insightの初期画面にて、右上の歯車アイコンをクリックして設定ウィンドウを表示させます。\n\n「チャットAI」の項目の中にある「Azure OpenAI Service」をクリックし、「+追加」を選択します\n\n\nAzure OpenAI Serviceの設定を登録\nAzureにデプロイしたChatGPTを登録するウィンドウが開きます。各項目を記入します。\n\n\n名前：UI表示に使用する名称\nAPIキー: ChatGPTをデプロイしたリソースのAPIキー\nデプロイ名: ChatGPTをデプロイした際に設定したデプロイ名\nAPIバージョン: 利用するAPIバージョン\nこちらのページの、「サポートされているバージョン」が利用可能です。\n\n\nリソース名: ChatGPTをデプロイしたリソースの名前\nChatGPTをデプロイしたエンドポイントhttps://RESOURCE_NAME.openai.azure.com/のRESOURCE_NAMEにあたる部分です。\n\n\nモデル: デプロイしたモデル名(gpt-3.5-turbo等)\n説明：必要に応じてメモとして使用\n\n\n次のページへ ＞\n"},"Gemini.html":{"url":"Gemini.html","title":"Gemini","keywords":"","body":"Gemini\nailia DX insightは、Geminiを使用して文章の生成を行うこともできます。\nGeminiについての詳細はこちらをご覧ください。\nGeminiへの接続方法\n設定画面の呼び出し\n\nailia DX insightの初期画面にて、右上の歯車アイコンをクリックして設定ウィンドウを表示させます。\n\n「チャットAI」の項目の中にある「Gemini」をクリックし、「+追加」を選択します\n\n\nAzure OpenAI Serviceの設定を登録\n\nAzureにデプロイしたChatGPTを登録するウィンドウが開きます。各項目を記入します。\n\n\n名前：UI表示に使用する名称\n説明：必要に応じてメモとして使用\nモデル: デプロイしたモデル名\n最大トークン長: モデルの最大トークン数\n\n\nAPIキーを登録してくださいとAPIキーのセクションに表示されているので、設定します。\nAPIキー、モデル名についてはこちらをご覧ください。\n\n\n\n次のページへ ＞\n"},"OpenAI_APIKey.html":{"url":"OpenAI_APIKey.html","title":"OpenAI APIキーの取得","keywords":"","body":"OpenAI APIキーの取得方法\n「ailia DX insight」内でOpenAIの機能を使用する場合にはOpenAIのAPIキーの取得が必要となります。\nOpenAIアカウントを作成する\n\nOpenAI Platformから「Sign up」を選択します。\n\n案内に沿ってメールアドレス、パスワードを入力し、続けるを選択します。\n\n登録したメールアドレス宛に「OpenAI - Verify your email」という件名のメールが届くので、メールアドレスの確認を選択すると、ブラウザが起動します。\n\n起動されたブラウザで「氏名」「組織名（オプション）」「生年月日」を入力し、規約、プライバシーポリシーを確認後、同意するを選択します。\n\n\n電話番号を登録する\nAPIキーを取得するにはショートメッセージを受け取ることのできる電話番号の登録が必要となります。\n\nOpenAIのDocsページ右上の「Dashboard」を選択します。\n\n左側のメニューから「API keys」を選択して、「Verify your phone number to create an API key」という案内の横にある「Start varification」を選択します。\n\n電話番号を入力し、「Send code」を選択します。\n\n電話番号宛てにOpenAI認証コードがショートメッセージが届くので、次の画面で入力し、電話番号の登録が完了となります。\n\n\nAPIキーを登録する\n\n「+ Create new secret key」を選択します。\n\n「Create new secret key」のウィンドウが表示されるので、任意の名称を入力してAPIキーを生成します。\n\nAPIキーが表示されます。\n※生成されたAPIキーが表示されるのは一度きりとなるので、この時点でコピーして保存しておくことをお勧めします。 \n\n\n支払い情報を登録する\n\nOpenAIのホーム画面右上のご自身のアカウントのアイコンをクリックし、「Your profile」を選択します。 \n\nSettingsという画面になります。左のメニューから「Billing」を選択し、「Add payment details」を選択します。\n\n「What best describes you?」（あなたに当てはまるものを選択してください）というウィンドウが表示されます。「individual」（個人）か「Company」（会社）を選択します。 \n\n表示されるウィンドウにてカード情報/請求先住所を入力し、「Continue」を選択することで、支払い情報の登録が完了します。\n\n月の支払い限度額を設定することで、APIにかかる費用を管理することができます。\n\n次のページへ ＞\n"},"Pricing.html":{"url":"Pricing.html","title":"OpenAIの料金体系","keywords":"","body":"OpenAIの料金体系\nChatGPTのトークンについて\nOpenAIの各モデルはトークンという単位で従量課金のお支払い金額が決まります。\n入力したトークン数に応じた単価と出力したトークン数に応じた単価を足した金額が利用料金となります。\nトークンとは、英語の場合は１単語、日本語の場合は１文字が１トークンに該当します。\nまた、句読点やクエスチョンマーク（？）等もそれぞれ１トークンとしてカウントされます。\n例）Q: アメリカの首都はどこですか？ → 17トークン\n例）Q: What is the capital of the United States? → ９トークン\nモデル毎の利用料金に関しては変動がある為、こちらからご確認ください。\n支払い限度額を設定する\nOpenAIのモデルは従量課金となっていて、使用制限をつけることで利用料金を管理することができます。\n\nOpenAIのホーム画面右上にアカウントのアイコンがあるので、クリックし、「Your profile」を選択します。\n\nSettingsという画面になるので、左のメニューから「Billing」を選択し、「Usage limits」を選択します。 \n \n\nHOMEへ戻る\n"}}}
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diff --git a/ja-beta/styles/website.css b/ja-beta/styles/website.css
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--- /dev/null
+++ b/ja-beta/styles/website.css
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+@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@100..900&display=swap');
+
+
+.book.font-family-0 {
+ font-family: "Noto Sans JP", sans-serif;
+ font-optical-sizing: auto;
+ font-weight: ;
+ font-style: normal;
+ line-height: 1.5em;
+}
+
+.book.font-family-1 {
+ font-family: "Noto Sans JP", sans-serif;
+ font-optical-sizing: auto;
+ font-weight: ;
+ font-style: normal;
+ line-height: 1.5em;
+}
+
+@media screen and (min-width: 481px){
+ .page-inner {
+ max-width: 80%;
+ overflow-x: scroll;
+ }
+}
+@media screen and (max-width: 480px){
+ .page-inner {
+ max-width: fit-content;
+ overflow-x: scroll;
+ }
+}
+
+
+body{
+ font-size: 18px;
+ width: 100%;
+}
+
+
+.markdown-section h1,
+.markdown-section h2,
+.markdown-section h3,
+.markdown-section h4,
+.markdown-section h5 {
+ line-height: 1em;
+ font-weight: bold;
+ color: #505050;
+}
+
+.markdown-section h1 {
+ line-height: 1.8em;
+ font-size: 2em;
+ padding: 0.4em 0.8em;/*文字の上下 左右の余白*/
+ color: #fff;/*文字色*/
+ background: #00BBE0;/*背景色*/
+ border-radius: 0.2em;/*角丸*/
+}
+
+.markdown-section h2 {
+ line-height: 1.5em;
+ font-size: 1.8em;
+ padding: 0em 0.5em;
+ color: #00BBE0;/*文字色*/
+ border-bottom: solid 2px #00BBE0;
+}
+
+.markdown-section h3 {
+ line-height: 1.5em;
+ font-size: 1.4em;
+ padding: 0em 0em;
+ color: #00BBE0;/*文字色*/
+}
+
+@media screen and (min-width: 481px){
+.markdown-section h5 a {
+ font-size: 24px;
+ line-height: 1.5em;
+ display: block;
+ text-align: center;
+ vertical-align: middle;
+ text-decoration: none;
+ width: auto;
+ margin: auto;
+ padding: 1em 4em;
+ font-weight: bold;
+ border: 2px solid #00BBE0;
+ color: #00BBE0;
+ border-radius: 100vh;
+ transition: 0.5s;
+}
+}
+
+@media screen and (max-width: 480px){
+ .markdown-section h5 a {
+ font-size: 12px;
+ line-height: 1.5em;
+ display: block;
+ text-align: center;
+ vertical-align: middle;
+ text-decoration: none;
+ width: auto;
+ margin: auto;
+ padding: 1em 4em;
+ font-weight: bold;
+ border: 2px solid #00BBE0;
+ color: #00BBE0;
+ border-radius: 100vh;
+ transition: 0.5s;
+ }
+ }
+
+
+
+.markdown-section h5 a:hover {
+ color: #fff;
+ background: #00BBE0;
+}
+
+.markdown-section h4 a {
+ font-size: 12px;
+ line-height: 1.5em;
+ display: block;
+ text-align: center;
+ vertical-align: middle;
+ text-decoration: none;
+ width: 200px;
+ margin: auto;
+ padding: 1em 4em;
+ font-weight: bold;
+ border: 2px solid #00BBE0;
+ color: #00BBE0;
+ border-radius: 100vh;
+ transition: 0.5s;
+}
+
+.markdown-section h4 a:hover {
+ color: #fff;
+ background: #00BBE0;
+}
+
+svg {
+ vertical-align: -3px;
+}
+
+table {
+ display: block;
+ overflow-x: auto;
+}
+
+
+
+
+.news-list{
+ list-style: none outside;
+ margin: 0;
+ padding: 0;
+}
+.news-list .item a{
+ display: flex;
+ flex-wrap: wrap;
+ flex-wrap: nowrap;
+ text-decoration: none;
+ color: #333;
+ border-bottom: 1px solid #CCC;
+ padding: 20px 20px;
+}
+.news-list .item:first-child a{
+ border-top: 1px solid #CCC;
+}
+.news-list .item .date{
+ margin: 0;
+ min-width: 140px;
+ font-size: 16px;
+ color: #999;
+ padding: 0 20px 0 0;
+}
+.news-list .item .category{
+ margin: 0;
+ min-width: 140px;
+ padding: 0 20px 0 0;
+}
+.news-list .item .category span{
+ background: #999;
+ color: #FFF;
+ text-align: center;
+ display: inline-block;
+ padding: 5px 20px;
+ font-size: 12px;
+ line-height: 2em;
+}
+.news-list .item .title{
+ margin: 0;
+ width: 100%;
+}
+.news-list .item a:hover .title{
+ color: #00F;
+}
+
+@media screen and (max-width: 767px){
+.news-list .item a{
+ flex-wrap: wrap;
+}
+.news-list .item .date{
+ min-width: 50%;
+}
+.news-list .item .title{
+ margin-top: 10px;
+}
+}
\ No newline at end of file
diff --git a/ja-beta/v1_1update.html b/ja-beta/v1_1update.html
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+ アップデートガイド · ailia DX Insight · ailia DX Insight
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+ ailia DX Insight 1.0から1.1へのアップデートガイド
+ ailia DX Insight 1.1では、アプリケーションの電子証明書が更新されています。 Microsoftのインストーラであるmsixでは、電子証明書が更新された場合、別のアプリケーションとして認識されます。https://github.com/microsoft/msix-packaging/issues/365 ）
+ windowsの場合
+ スタートメニューからailia_dx_insightを選択し、右クリックでアンインストールを行います。c:/Users/[UserName]/Documents(*)/ailia DX Insightに保存されているため、保持されます。
+ （*）「マイドキュメント」と表示されることもあります。
+ Macの場合
+ ailia_dx_insight.dmgを開き、ailia_dx_insight.appをApplicationフォルダにドロップすることで上書きします。
+ コンフィグファイルの更新
+ ailia DX Insight 1.0でコンフィグファイルを使用している場合、コンフィグファイルの更新が必要です。ailia DX Insight 1.1の初回起動時に、下記のダイアログが表示されるため、コンフィグファイルのパスを設定してください。
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diff --git a/ja-beta/v1_2update.html b/ja-beta/v1_2update.html
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+ v1.2.0リリースノート · ailia DX Insight · ailia DX Insight
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+ バージョン1.2.0リリースノート
+ 機能追加
+ チャット機能
+
+ ファイルビュー
+
+ RAG
+
+ 議事録
+
+ その他
+
+ OpenAIのモデル変更
+
+ GPT3.5の削除
+ GPT-4o mini対応
+
+ UI
+
+ 改善
+
+ GPUを使用した場合のドキュメント登録の高速化
+ エクセルのインポートにおいて、末尾の空白を削除
+ 1行の中でテキストが分割されたPDFの翻訳の精度改善
+
+ 不具合修正
+
+ 翻訳のコマンドプロンプトを編集しようとすると校正のプロンプトという表示がある問題を修正
+ チャット欄に大量の文章を入れるとオーバフローする問題を修正
+ チャットヒストリーの左右の幅を広げにくい問題を修正
+ Geminiでシステムプロンプトが適用されない問題を修正
+ libllama.dylibがmacOS14向けにビルドされているためmacOS13で起動できない問題を修正
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の「AI実行環境」の項目を選択します。
となれば、登録完了です。
となれば、削除完了です。
