February 2025
Intermediate
376 pages
9h 25m
Japanese
Content preview from 仕組みからわかる大規模言語モデル 生成AI時代のソフトウェア開発入門
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1
図1.3.8
マスク付きマルチヘッド注意機構ではトークン間の関連性を計算し、フィードフォワードで
は出力埋め込みベクトルに非線形の計算を適用します。これらが計算した情報は、残差接続を
通して入力埋め込みベクトルに対して加算されます。加算のたびにレイヤ正規化が適用され、
出力埋め込みベクトルが更新されることになります。なお、GPT-3の場合、このレイヤ正規
化は、各サブレイヤの後ではなく前に配置されています。デコーダに入力されたトークン埋め
込みベクトルは、デコーダスタックを通過するごとに、様々な情報が付与され、最終的に出力
埋め込みベクトルが得られます。
デコーダスタックのように同じサブコンポーネントを重ねる構成は、ディープラーニングに
おいて一般的な構成です。入力に近い層ほど具体的な情報を扱い、出力に近い層ほどより抽象
的な情報を扱うようになっています。デコーダスタックも同様に、入力埋め込みベクトルに対
して具体的な情報を付与する処理を繰り返し、最終的に抽象的な情報を持つ出力埋め込みベク
トルを得るように設計されています。
以降、本項ではマスク付きマルチヘッド注意機構層とフィードフォワード層について詳しく
説明します。
マスク付きマルチヘッド注意機構
マスク付きマルチヘッド注意機構は、その名前の通りマルチヘッドのマスク付き注意機構か ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.