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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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.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.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.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.
8章モデル挑戦編
WebBotでは、StoryBotよりもさらに大きなモデルを扱います。本章では「挑戦編」として、大規模モデルに対応するためのアーキテクチャの改良と高速化テクニックを紹介します。
8.1 モデルサイズの選択
WebBotではStoryBotよりも大きなモデルを使いますが、どの程度のサイズが適切でしょうか。ここで役立つのがスケーリング則です。
LLMの損失（Loss）は、モデルのパラメータ数
や学習データのトークン数
に対して、べき乗則（Power law）に従って減少することが知られています。つまり、やを増やすほど損失は下がりますが、その改善の度合いが予測可能なのです。この予測可能性こそがスケーリング則の本質です。これにより、小さなモデルでの実験結果から大きなモデルの性能や最適な設定を見積もることができます。 ...
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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.