Knygos.lt nariams
60,96 €
-30%
Įprastai
87,09 €
The Developer's Guide to AI
Knygos.lt nariams
60,96 €
-30%
Įprastai
87,09 €
- Išsiųsime per 12–18 d.d.
A practical, accessible guide that shows working software developers how to integrate real AI features into the applications they already build--using JavaScript, Python, APIs, and modern cloud services, without needing a data-science background. Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they a…
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- Autorius: Jacob Orshalick
- Leidėjas: No Starch Press
- ISBN-10: 1718504764
- ISBN-13: 9781718504769
- Formatas: 0 x 0 x 0 cm, minkšti viršeliai
- Kalba: Anglų
Atsiliepimai
Aprašymas
A practical, accessible guide that shows working software developers how to integrate real AI features into the applications they already build--using JavaScript, Python, APIs, and modern cloud services, without needing a data-science background. Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know--JavaScript, Python, APIs, vector search, and simple agent workflows--without advanced math or machine learning. Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last.
Knygos.lt nariams
60,96 €
-30%
Įprastai
87,09 €
Išsiųsime per 12–18 d.d.
- Autorius: Jacob Orshalick
- Leidėjas: No Starch Press
- ISBN-10: 1718504764
- ISBN-13: 9781718504769
- Formatas: 0 x 0 x 0 cm, minkšti viršeliai
- Kalba: Anglų
A practical, accessible guide that shows working software developers how to integrate real AI features into the applications they already build--using JavaScript, Python, APIs, and modern cloud services, without needing a data-science background. Working developers everywhere now use AI tools, but most still struggle to turn prompts and prototypes into reliable software features. The Developer's Guide to AI teaches engineers how to build real, maintainable AI capabilities using the tools they already know--JavaScript, Python, APIs, vector search, and simple agent workflows--without advanced math or machine learning. Readers learn where AI belongs in an application, how to design around real-world constraints like latency and cost, and how to avoid the brittle prototypes that fail under changing requirements. With clear examples and production-focused patterns, this book helps developers ship AI features that last.
Atsiliepimai