Isbn: 9781394373130 - a developer's guide to integrating generative ai into applications (25 risultati)

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  • Lingua: Inglese

    Editore: Wiley, 2026

    1394373139 / 9781394373130

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    Paperback. Condizione: new. Paperback. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. Youll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: John Wiley and Sons, 2026

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    Editore: John Wiley and Sons Inc, US, 2026

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    Paperback. Condizione: New. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. You'll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.…

  • Lingua: Inglese

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    Paperback. Condizione: New. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. You'll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.…

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    Paperback. Condizione: new. Paperback. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. Youll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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    Paperback. Condizione: new. Paperback. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. Youll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Lingua: Inglese

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    Paperback. Condizione: New. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. You'll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.…

  • Lingua: Inglese

    Editore: John Wiley & Sons Inc Mär 2026, 2026

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    Taschenbuch. Condizione: Neu. Neuware - Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. You'll discover: - Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic users - Up-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilities - How to improve your interface and UX design with AI features - Explorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.…

  • Lingua: Inglese

    Editore: John Wiley and Sons Inc, US, 2026

    1394373139 / 9781394373130

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    Paperback. Condizione: New. Create, implement, and scale commercially successful generative AI applications that solve real-world problems In A Developer's Guide to Integrating Generative AI into Applications, software developer, technology educator, and author Chris Minnick explain exactly how to design and implement scalable generative AI applications. The book walks you through building production-ready GenAI applications, covering the key architectural choices, integration patterns, and design practices needed to deliver accurate, efficient, and commercially viable solutions. Minnick demonstrates the principles and techniques you need to succeed in the rapidly evolving GenAI space in real-world business environments. He shows how to overcome the practical challenges developers face when embedding generative AI into products, from designing effective prompts to managing performance and cost, with hands-on examples that demonstrate proven techniques you can apply immediately. You'll discover: Step-by-step guides to using AI APIs, SDKs, AI-generated data, and synthetic usersUp-to-date explanations of how to build AI-powered chatbots and assistants, AI-driven content-enhancement services, code generation and software development tools, and AI search and recommendation utilitiesHow to improve your interface and UX design with AI featuresExplorations of business and scaling considerations, including how to monetize AI features, how to optimize AI for both performance and cost, and case studies of successful products that incorporate GenAI Perfect for software developers, product managers, engineering leaders, and UX designers, A Developer's Guide to Integrating Generative AI into Applications is your essential guide to integrating generative AI into real products and creating the AI-powered applications that will define the next era of software.…

  • Lingua: Inglese

    Editore: John Wiley & Sons Inc, 2026

    1394373139 / 9781394373130

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    Taschenbuch. Condizione: Neu. A Developer¿s Guide to Integrating Generative AI i nto Applications | Chris Minnick | Taschenbuch | Tech Today | Einband - flex.(Paperback) | Englisch | 2026 | John Wiley & Sons Inc | EAN 9781394373130 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …