エンジニアなら知っておきたい生成AIのキホン ChatGPT/Copilot/Geminiから学ぶ最新技術と活用
Item #: 136829363

エンジニアなら知っておきたい生成AIのキホン ChatGPT/Copilot/Geminiから学ぶ最新技術と活用

Item #: 136829363

INR 2445

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What Stands Out

Latest AI Insights
Stay ahead with comprehensive coverage of the latest technologies, including generative AI advancements. Helps engineers enhance their skills and stay competitive in a rapidly evolving tech landscape.
Practical Applications
Focuses on real-world utilization of tools like ChatGPT and Copilot. Engineers can immediately apply learned techniques to improve productivity and efficiency in their projects.
Upcoming Trends
Explores future developments with technologies like Gemini, preparing engineers for what’s next. Ensures they are equipped with knowledge to innovate and adapt in their respective fields.

Product Details

梅田 弘之 Format: Tankobon Softcover Shop エンジニアなら知っておきたい生成AIのキホン ChatGPT/Copilot/Geminiから学ぶ最新技術と活用 online at a best price in India. 4295021040
  • 生成AIの仕組みをイメージする 生成AIは、革新的なIT技術として注目されていますが、同時にその技術背景は難解で専門的という印象がありました。本書では代表的な生成AIサービスを取り上げながら、その技術をできるだけ分かりやすく解説し、ビジネスの現場に応用していくための解法を提供するものです。 本書では生成AIの技術的な側面に迫りますが、専門家向けの解説を行うものではありません。生成AIの理解に必要な背景を、比較的平易なコンピュータ用語で解説していきます。仕事でコンピュータを使っているさまざまな方のリテラシーを前提に、技術のイメージを大まかにつかんでもらえるような説明をしていきます。 LLCからチューニングなどの技術要素をフォロー 生成AIは従来の人工知能から進んで、文書や画像などのコンテンツを生み出すことができます。その背景には大規模言語モデル(LLM)という従来にはないデータ基盤を利用していることがあります。本書ではさまざまなサービスで採用されているTransformerというモデルを題材にLLCの仕組みを説明します。また、それら汎用モデルをどのようにカスタマイズし、ビジネスの現場や各種のプロジェクトで活かす方法を探ります。 さまざまなIサービスをカバーする 本書では代表的な生成AIのサービスであるChatGPTのほか、マイクロソフトのBingやCopilotなどのサービスの特長や技術背景についても説明します。これらの基本的な利用の仕方のほか、チューニングを施して自身が必要とする生成結果をどのように得るかなど、より実践的な利用法を解説します。また、生成AIの分野ではさまざまなサービスが次々と登場しており、新しいサービスを含めた特徴や違いなどについても考察を加えています。
Publisher インプレス
Publication date February 25, 2025
Language Japanese
Print length 320 pages
ISBN-10 4295021040
ISBN-13 978-4295021049
Item Weight 430 g
Dimensions 8.27 x 5.83 x 0.75 inches (21 x 14.8 x 1.9 cm)

Who Should Buy?

Suitable For
  • Technical Professionals

    Engineers seeking to enhance their skills in generative AI and improve productivity will greatly benefit from this product.

  • Academic Users

    Students and researchers studying AI technologies will find this resource valuable for understanding the latest advancements.

  • Industry Innovators

    Professionals looking to implement generative AI in their projects will gain insights on practical applications and best practices.

Not Suitable For
  • Beginners

    Individuals with no background in technology might find the content too advanced and challenging to comprehend.

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梅田 弘之 Format: Tankobon Softcover Business & Information Technology Editorial Review

Editorial Review The book "生成AIなら知っておきたい生成人工知能の基本" has garnered positive feedback from readers, particularly for its thorough and accessible approach to understanding generative AI. Customers have appreciated the clarity with which complex subjects such as custom instructions, memory functions, custom GPT, and prompt engineering are explained. Many users noted that this book serves as a comprehensive guide, detailing the origins, mechanisms, and practical applications of generative AI, making it an essential resource for both beginners and those looking to enhance their existing knowledge. Readers particularly valued the use of diagrams and examples, which facilitated a smoother learning process. The systematic layout of topics allows for easy navigation, ensuring that even those who are new to the field can comprehend the material without feeling overwhelmed. Although some reviewers feel that the book does not reach the depth of the author’s previous work, there is a Consensus that it effectively equips readers with the fundamental skills needed to utilize generative AI and encourages them to elevate their engagement with the technology.

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Pros

  • Clear and accessible explanations of complex topics
  • Comprehensive coverage of generative AI concepts and practical applications
  • Inclusion of diagrams and examples that aid understanding
  • Systematic layout that caters to both beginners and experienced users

Cons

  • Some readers found the content less in-depth compared to the author's previous book

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