dehio3

<p data-line="0" class="code-line"><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__410bb3e51eb53" src="https://embed.zenn.studio/card#zenn-embedded__410bb3e51eb53" data-content="https%3A%2F%2Faws.amazon.com%2Fjp%2Fblogs%2Fnews%2Fskill-builder-generative-ai-4step%2F" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://aws.amazon.com/jp/blogs/news/skill-builder-generative-ai-4step/" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://aws.amazon.com/jp/blogs/news/skill-builder-generative-ai-4step/</a></p>


<h1 id="aws-%E3%81%A7%E5%A7%8B%E3%82%81%E3%82%8B%E7%94%9F%E6%88%90%E7%B3%BB-ai-for-entry" data-line="0" class="code-line">
<a class="header-anchor-link" href="#aws-%E3%81%A7%E5%A7%8B%E3%82%81%E3%82%8B%E7%94%9F%E6%88%90%E7%B3%BB-ai-for-entry" aria-hidden="true"></a> AWS で始める生成系 AI for Entry</h1>
<p data-line="1" class="code-line">独自の情報を生成AIで活用する方法</p>
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<li data-line="2" class="code-line">
<p data-line="2" class="code-line">RAG</p>
<ul data-line="3" class="code-line">
<li data-line="3" class="code-line">Amazon Kendraの機能をくみあわせてRAGワークフローを実装し、生成AIの出力を組織や企業データを元に生成させる<br>
<img src="https://storage.googleapis.com/zenn-user-upload/0caab4f7afe7-20241030.png" loading="lazy" class="md-img">
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<p data-line="6" class="code-line">Fine-Tuning</p>
<ul data-line="7" class="code-line">
<li data-line="7" class="code-line">基盤モデルに社内のドキュメントデータを与えて追加のトレーニングを行い、新たに基盤モデルを作成する<br>
<img src="https://storage.googleapis.com/zenn-user-upload/67de585a78c5-20241030.png" loading="lazy" class="md-img">
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