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Amazon Bedrock 生成AIアプリ開発入門 AWS深掘りガイド
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Hands-on learning of AI applications with a systematic approach to necessary knowledge.
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- 作って学べる! 大規模言語モデル LLMアプリ開発の基本とコツ いま知るべき最先端の知識! AWSの生成AIサービスを体系的に解説した、いちばん詳しい入門書です。 生成AIサービス Bedrockを使ったアプリ開発を丁寧に解説しました。 大規模言語モデルの仕組み、プロンプトエンジニアリングといった基本からしっかり学べます。 ★★本書の特徴★★ ①実務で役立つハンズオンで学べる 「社内文書検索RAGアプリ」 「便利なAIエージェント」 ②生成AIのアプリ開発がよくわかる 「セキュアな生成AI活用」 「モデルの使い分け」 「ローコード開発」 「活用事例」 など ③最新の関連知識を盛りだくさんに解説 「Claude 3 」「LangChain」「ナレッジベース」 「Step Functions 」「 Q」「Stable Diffusion」 などなど 【読者特典】 サンプルコード配布 目次 1章.生成AIの基本と動向 2章. Bedrock入門 3章.生成AIアプリの開発手法 4章.社内文書検索RAGアプリを作ってみよう 5章.便利な自律型AIエージェントを作ってみよう 6章.Bedrockの機能を使いこなそう 7章.さまざまなAWSサービスとBedrockを連携しよう 8章.生成AIアプリをローコードで開発しよう 9章.Bedrock以外の生成AI関連サービスの紹介 10章.Bedrockの活用事例 11章.お勧めの最新情報のキャッチアップ方法
| Publisher | SBクリエイティブ |
| Publication date | June 26, 2024 |
| Language | Japanese |
| Print length | 528 pages |
| ISBN-10 | 4815626448 |
| ISBN-13 | 978-4815626440 |
| Item Weight | 1 g |
| Dimensions | 1.27 x 5.83 x 8.27 inches (3.2 x 14.8 x 21 cm) |
Who Should Buy?
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Developers
Ideal for software developers looking to integrate AI applications using Amazon Bedrock within AWS environments effectively.
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Tech Entrepreneurs
Suitable for tech entrepreneurs focused on creating AI-driven solutions and leveraging AWS infrastructure for startup development.
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Students and Learners
Beneficial for students and learners eager to grasp AI application development concepts using Amazon Bedrock tools on AWS.
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Non-Technical Users
This product may not suit non-technical users lacking programming skills or knowledge of cloud computing frameworks.
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御田 稔 , 熊田 寛 Introduction to Cloud Computing Editorial Review
Amazon Bedrock 生成AIアプリ開発入門 AWS深掘りガイド is a comprehensive guide published by SBクリエイティブ on June 26, 2024, focusing on the intricacies of AI app development on AWS. This 528-page book is available in Japanese and serves as an essential resource for developers looking to enhance their knowledge and skills in generative AI applications. Readers have praised the clear explanations and depth of information provided, making it accessible yet informative for those eager to dive into this technological frontier. The detailed specifications highlight its publish date and layout, ensuring that readers know precisely what to expect from this well-structured guide.
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Pros
- Comprehensive coverage of generative AI concepts
- Clear explanations make complex topics accessible
- Well-structured for easy navigation
- Useful for both beginners and experienced developers
- Published by a reputable source in technology
Cons
- Minor aspect is the weight, which is very light.
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Features & Benefits
- Learn to develop AI applications effectively.
- Gain foundational knowledge on Generative AI and LLMs.
- Utilize Amazon Bedrock for enhanced AI services.
- Hands-on experience with tools like Streamlit and LangChain.
- Understand AI agent mechanisms and custom model training.
- Access latest case studies and resources for ongoing learning.
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