Generative AI for Web Development

Building Web Applications Powered by OpenAI APIs and Next.js

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Éditeur :

Apress

Paru le : 2024-11-20

Explore the world of Generative AI and understand why it matters. This book is divided into two parts, introducing tools such as ChatGPT, DALL-E, and will show you how to use them to build AI-powered web apps. The first part of the book describes Generative AI and covers the essential models and AP...
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Éditeur

Collection
n.c

Parution
2024-11-20

Pages
250 pages

EAN papier
9798868808845

Auteur(s) du livre


Tom Auger is a senior software engineer with extensive experience in building web APIs and web applications for both startups and large enterprises. As an increasing number of breakthroughs were made in AI, Tom decided to take a sabbatical in 2020 and obtained a Master’s degree in Computer Science at Edinburgh University researching AI, machine learning and computer security in greater depth. Tom regularly teaches workshops and bootcamps on Generative AI. He currently leads the development of AI in education at the Tumo Center for Creative Technologies to build an AI powered learning coach. Emma Saroyan graduated with a BS in Computer Science from the American University of Armenia and is currently a developer advocate with a focus on developer products, platforms, and APIs. Before that, she worked at startups at the intersection of technology and education. Emma regularly speaks at international open-source conferences and is an active advocate for women in tech serving on the DISC Committee of NumFOCUS, an organization dedicated to supporting and advancing open-source scientific computing projects. She believes we are at one of the biggest inflection points in human history, given the disruption that Generative AI is creating.    

Caractéristiques détaillées - droits

EAN PDF
9798868808852
Prix
64,08 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
11694 Ko
EAN EPUB
9798868808852
Prix
64,08 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
7690 Ko

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