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Item #:
125142526
つくりながら学ぶ！LLM 自作入門 Compass Booksシリーズ
87% of respondents would recommend this to a friend
Item #:
125142526
XCD 101
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If you read this book to the end, you will be able to fully understand how LLM works and acquire the skills to build your own model.
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What Stands Out
Interactive Learning
Engage creatively while mastering new concepts through hands-on projects, fostering a deep understanding that transcends traditional learning methods.
Comprehensive Content
Offers a rich blend of educational material and practical activities, catering to diverse learning styles and ensuring comprehensive coverage of essential topics.
Quality Format
Softcover design is both durable and portable, making it perfect for on-the-go learning while encouraging a comfortable reading experience for all ages.
Product Details
- LLM (大規模言語モデル) をつくりながら学ぼう！本書は、GPT型のLLM (大規模言語モデル) を一から理解して構築するために書かれました。 テキストデータの扱い方とAttentionメカニズムのコーディングの基礎を理解した後、完全なGPTモデルの実装に取り組みます。 本書の特徴は、LLMの構築プロセス全体を包括的にカバーしていることです。これには、モデルアーキテクチャを実装するためのデータセットの扱い方から、ラベルなしデータでの事前学習、そして特定のタスク向けのファインチューニングまでが含まれています。 本書を最後まで読めばLLMの仕組みがしっかりと理解でき、独自のモデルを構築するためのスキルを身につけることができるでしょう。作成するモデルは大規模な基礎モデルに比べれば規模は小さいものの、基になっている概念は同じです。最先端のLLMの構築に使われている中核的なメカニズムやテクニックを理解するための強力なツールとなるでしょう。 ［対象読者］ ・LLMの仕組みを理解し、独自のモデルを一から構築する方法を学びたいと考えている機械学習の愛好家、エンジニア、学生 ・本書はPyTorchを活用しており、事前にPythonプログラミングを理解している必要があります。 ・機械学習、ディープラーニング、人工知能（AI）の知識があれば役立ちますが、幅広い知識や経験は必要ありません。 ・高校レベルの数学、ベクトルや行列の知識は本書を理解する助けとなりますが、高度な数学の知識は不要です。 ［目次］ 1章 大規模言語モデルを理解する 2章 テキストデータの準備 3章 Attentionメカニズムのコーディング 4章 テキストを生成するためのGPTモデルを一から実装する 5章 ラベルなしデータでの事前学習 6章 分類のためのファインチューニング 7章 指示に従うためのファインチューニング 付録A PyTorch 入門 付録B 参考資料 付録C 練習問題の解答 付録D 訓練ループに高度なテクニックを追加する 付録E LoRAによるパラメータ効率のよいファインチューニング “Build a Large Language Model (from Scratch)”（Manning Publishing 刊）の日本語版
| Publisher | マイナビ出版 |
| Publication date | February 27, 2025 |
| Language | Japanese |
| Print length | 384 pages |
| ISBN-10 | 4839987807 |
| ISBN-13 | 978-4839987800 |
| Item Weight | 660 g |
| Dimensions | 0.94 x 7.17 x 9.21 inches (2.4 x 18.2 x 23.4 cm) |
Who Should Buy?
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Creative Learners
Perfect for individuals who thrive on hands-on learning and enjoy innovative approaches to grasping new concepts.
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DIY Enthusiasts
Ideal for those who love to create and learn simultaneously through projects and practical applications.
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Educators
Useful for teachers seeking to incorporate creative, project-based learning into their curriculum for better engagement.
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Traditional Learners
Not suitable for users who prefer a structured, lecture-based approach to learning without hands-on activities.
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Sebastian Raschka , 巣籠悠輔 (Consultant Editor AI & Machine Learning Editorial Review
つくりながら学ぶ！LLM 自作入門 Compass Booksシリーズ is an engaging guide published by マイナビ出版, offering readers a chance to delve into LLM construction with hands-on learning. With 384 pages, this book is thoughtfully designed in Japanese and provides detailed instruction for enthusiasts looking to understand and create their own models. The dimensions are compact yet ample for comfortable reading, making it suitable for both beginners and those with some experience in the field. Readers appreciate the clarity of concepts presented, which fosters a comprehensive understanding of LLMs.
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Pros
- Engaging hands-on learning approach
- Clear explanations for beginners
- Well-structured for easy understanding
- Compact size for comfortable reading
- Suitable for various skill levels
Cons
- Minor complexity for complete beginners
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XCD 101
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Features & Benefits
- Learn to create LLMs from scratch with step-by-step guidance.
- Comprehensive coverage from data handling to model architecture.
- Includes practical implementation of a GPT model.
- Designed for machine learning enthusiasts and aspiring engineers.
- Utilizes PyTorch; prior Python knowledge is required.
- Gain critical skills to understand and build cutting-edge language models.
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