June 2026
Intermediate
384 pages
4h 17m
Japanese
Content preview from ゼロから作るDeep Learning ❻ ―LLM編
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ここから新しいステージ、WebBotの開発に進みます。WebBotでは、現実のWebテキストという、より複雑で巨大なデータに向き合います。ノイズ、多様な文体、多岐にわたるトピック——これまでのCodeBotとStoryBotで培った技術が、どこまで通用するでしょうか？
このステージでは、詳細な実装手順は示しません。代わりに、考えるべきポイントやヒントを提示します。CodeBotとStoryBotで学んだ知識を総動員して、自分の力でWebBotを作り上げてみてください。
III.1 データセット
WebBotの開発では、OpenWebText（OWT）データセットを使用します。OWTは、GPT-2の学習データを再現することを目的として、インターネット上の記事から構築されたコーパスです。実際のWebテキストに近い分布を持つため、多様で自然な文章を生成できるモデルの学習に適しています。
たとえば、次のようなテキストが含まれています。
When Cara Jones let her black-and-white pit bull, "Creature," out Thursday night to relieve herself at the end of William Street, she heard something unusual coming from the woods. "I kept hearing sticks breaking," said Jones, ...
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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.