September 2025
Beginner to intermediate
400 pages
6h 4m
Japanese
Overview
大規模言語モデル（LLM）を活用した実践的なアプリケーション開発へと繋がる、知識、テクニック、ツールの包括的な解説書。 著者自身によるLLMを用いた数々の実験と、800本を超える論文の知見に基づき、モデルの構造や限界、活用手法、応用パターンを体系的に紹介することで、直感的な理解と応用力を身につけられるよう構成されています。 LLMがどんなデータを用いて、どんな目的で訓練されているかといった原理的な側面から、ファインチューニング、推論の最適化、RAG（検索拡張生成）といった応用的な側面まで、PoC（概念実証）から一歩踏み出したアプリケーションの構築を目指す方に気づきを与える一冊です。
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