Practical Next.js: Fine-Tuning GPT on Your Data for Smarter, AI-Enhanced Web Applications - Softcover

DAWSON, SAMPSON

Softcover

ISBN 13: 9798270172299

Verlag: Independently published, 2025

Inhaltsangabe

In a world where AI and the web are rapidly merging, Practical Next.js: Fine-Tuning GPT on Your Data stands as the ultimate guide for developers, engineers, and tech innovators ready to build the next generation of intelligent web applications. This hands-on book bridges the gap between AI reasoning and web development, teaching you how to fine-tune GPT models using your own data — and deploy them seamlessly through Next.js, the modern full-stack React framework.
From foundational concepts to production-ready systems, this book walks you through real-world, enterprise-grade techniques for integrating OpenAI’s APIs, managing live data pipelines, creating secure serverless architectures, and deploying scalable AI components. You’ll learn to structure datasets, automate intelligence through decision logic, and embed dynamic GPT capabilities directly into your web stack — without losing control of your data.
Each chapter builds practical mastery step-by-step — from setting up your fine-tuning environment to designing AI-powered dashboards, chatbots, and real-time analytics tools. Along the way, you’ll uncover expert insights, optimization strategies, and hard-earned lessons that only experienced AI developers share.
By the end of this book, you’ll not only understand how to connect Next.js and GPT, but also how to make AI truly yours — intelligent, responsive, and aligned with your goals.
You’ll Learn How To:
• Fine-tune GPT models on your own datasets for personalized intelligence
• Build and deploy AI-powered web applications using Next.js and Vercel
• Create secure, real-time APIs and automated decision workflows
• Connect Python and JavaScript backends for hybrid AI systems
• Optimize model performance, cost, and latency at scale
• Apply ethical and privacy-conscious AI design principles

Who This Book Is For:
• Full-stack and AI developers who want to blend web development with machine intelligence
• Data engineers and researchers exploring model customization
• Tech entrepreneurs building smart web products and SaaS tools
• Professionals seeking to future-proof their careers in AI-powered development
Why This Book Stands Out:
Unlike theoretical AI guides, Practical Next.js: Fine-Tuning GPT on Your Data delivers a build-first, learn-by-doing experience. It’s written for real-world deployment — balancing hands-on coding tutorials, conceptual clarity, and production-grade insights. Every chapter is designed to elevate your technical skill and creative potential, helping you turn your data into a powerful competitive edge.
Discover how to build the next generation of intelligent web applications.
With Practical Next.js, you’ll learn to merge modern web engineering with GPT-powered AI — creating apps that adapt, reason, and evolve with your data.
Get your copy today and start building smarter, data-driven apps that redefine what’s possible on the web.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 13: 9798270172299
• Einband: Taschenbuch
• Anzahl der Seiten: 141
• Kontakt zum Hersteller: Manufactured by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg