Building software with a language model is fundamentally different from chatting with one through a consumer interface.
Building AI Applications with the Claude API provides a practical introduction to integrating language intelligence into software, services, tools, and digital products.
You will learn what an AI API actually does, how messages and roles work, how tokens and context windows affect application behavior, how to create and protect API credentials, and how to structure a project around an SDK or direct HTTP requests.
The book then moves into the building blocks of useful AI applications. You will learn how to design system prompts, use examples, create tools, handle function calling, stream responses, request structured output, process documents and images, and combine multiple steps into a complete application feature.
The final section addresses production engineering: AI-specific failure modes, validation, guardrails, model selection, token costs, latency, caching, scaling, security, privacy, and responsible deployment.
For backend developers, full-stack developers, technical founders, software engineers, and builders integrating language models into applications, this book provides a practical bridge between API experimentation and production software.
It focuses on the engineering decisions that matter after the first successful request—how to make the integration reliable, maintainable, cost-aware, secure, and useful to real users.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Building software with a language model is fundamentally different from chatting with one through a consumer interface.Building AI Applications with the Claude API provides a practical introduction to integrating language intelligence into software, services, tools, and digital products.You will learn what an AI API actually does, how messages and roles work, how tokens and context windows affect application behavior, how to create and protect API credentials, and how to structure a project around an SDK or direct HTTP requests.The book then moves into the building blocks of useful AI applications. You will learn how to design system prompts, use examples, create tools, handle function calling, stream responses, request structured output, process documents and images, and combine multiple steps into a complete application feature.The final section addresses production engineering: AI-specific failure modes, validation, guardrails, model selection, token costs, latency, caching, scaling, security, privacy, and responsible deployment.For backend developers, full-stack developers, technical founders, software engineers, and builders integrating language models into applications, this book provides a practical bridge between API experimentation and production software.It focuses on the engineering decisions that matter after the first successful request-how to make the integration reliable, maintainable, cost-aware, secure, and useful to real users. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798192559437
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798192559437
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798192559437
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798192559437
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - Building software with a language model is fundamentally different from chatting with one through a consumer interface.Building AI Applications with the Claude API provides a practical introduction to integrating language intelligence into software, services, tools, and digital products.You will learn what an AI API actually does, how messages and roles work, how tokens and context windows affect application behavior, how to create and protect API credentials, and how to structure a project around an SDK or direct HTTP requests.The book then moves into the building blocks of useful AI applications. You will learn how to design system prompts, use examples, create tools, handle function calling, stream responses, request structured output, process documents and images, and combine multiple steps into a complete application feature.The final section addresses production engineering: AI-specific failure modes, validation, guardrails, model selection, token costs, latency, caching, scaling, security, privacy, and responsible deployment.For backend developers, full-stack developers, technical founders, software engineers, and builders integrating language models into applications, this book provides a practical bridge between API experimentation and production software.It focuses on the engineering decisions that matter after the first successful request-how to make the integration reliable, maintainable, cost-aware, secure, and useful to real users. N° de réf. du vendeur 9798192559437
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Building software with a language model is fundamentally different from chatting with one through a consumer interface.Building AI Applications with the Claude API provides a practical introduction to integrating language intelligence into software, services, tools, and digital products.You will learn what an AI API actually does, how messages and roles work, how tokens and context windows affect application behavior, how to create and protect API credentials, and how to structure a project around an SDK or direct HTTP requests.The book then moves into the building blocks of useful AI applications. You will learn how to design system prompts, use examples, create tools, handle function calling, stream responses, request structured output, process documents and images, and combine multiple steps into a complete application feature.The final section addresses production engineering: AI-specific failure modes, validation, guardrails, model selection, token costs, latency, caching, scaling, security, privacy, and responsible deployment.For backend developers, full-stack developers, technical founders, software engineers, and builders integrating language models into applications, this book provides a practical bridge between API experimentation and production software.It focuses on the engineering decisions that matter after the first successful request-how to make the integration reliable, maintainable, cost-aware, secure, and useful to real users. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798192559437
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