ChatGPT Application and Integration Guide: Definitive Reference for Developers and Engineers
Richard Johnson
juny del 2025 · HiTeX Press
5,0star
1 ressenyareport
Llibre electrònic
250
Pàgines
family_home
Apte
info
reportNo es verifiquen les puntuacions ni les ressenyes Més informació
Sobre aquest llibre
"ChatGPT Application and Integration Guide"
The "ChatGPT Application and Integration Guide" is a comprehensive resource designed for professionals, architects, and developers tasked with building and deploying large language model (LLM) solutions at scale. Beginning with foundational concepts, the book meticulously covers the evolution of transformer architectures, the intricacies of pre-training and fine-tuning, and the nuanced capabilities and constraints unique to ChatGPT. Readers gain deep technical insight into tokenization, embeddings, attention mechanisms, and the pressing ethical, privacy, and bias considerations that govern responsible AI deployment.
Central to the guide is an in-depth exploration of practical engineering topics that directly impact real-world applications. The work demystifies cutting-edge prompt engineering techniques, including zero-shot and few-shot strategies, dynamic runtime prompting, and methods to quantify prompt effectiveness. Readers will find robust frameworks for conversational context management, integration of external knowledge, and security strategies to defend against adversarial use and abuse. The guide transitions seamlessly into the architectural underpinnings of scalable ChatGPT systems—microservices, API design, orchestration, event-driven workflows, and deployment strategies spanning cloud, edge, and hybrid environments.
For enterprise adopters and research-driven teams, the book offers advanced chapters on integrating ChatGPT with business data, process automation, and collaboration platforms. Readers are equipped with actionable methods for enterprise data integration, scalable middleware, auditing, and human-in-the-loop systems. Additional coverage of topics such as custom model training, LLM fine-tuning, security, compliance, automated testing, and the expanding frontier of multimodal and agent-based AI ensures that this guide serves as an indispensable reference for anyone serious about building robust, ethical, and future-ready conversational AI applications.
The "ChatGPT Application and Integration Guide" is a comprehensive resource designed for professionals, architects, and developers tasked with building and deploying large language model (LLM) solutions at scale. Beginning with foundational concepts, the book meticulously covers the evolution of transformer architectures, the intricacies of pre-training and fine-tuning, and the nuanced capabilities and constraints unique to ChatGPT. Readers gain deep technical insight into tokenization, embeddings, attention mechanisms, and the pressing ethical, privacy, and bias considerations that govern responsible AI deployment.
Central to the guide is an in-depth exploration of practical engineering topics that directly impact real-world applications. The work demystifies cutting-edge prompt engineering techniques, including zero-shot and few-shot strategies, dynamic runtime prompting, and methods to quantify prompt effectiveness. Readers will find robust frameworks for conversational context management, integration of external knowledge, and security strategies to defend against adversarial use and abuse. The guide transitions seamlessly into the architectural underpinnings of scalable ChatGPT systems—microservices, API design, orchestration, event-driven workflows, and deployment strategies spanning cloud, edge, and hybrid environments.
For enterprise adopters and research-driven teams, the book offers advanced chapters on integrating ChatGPT with business data, process automation, and collaboration platforms. Readers are equipped with actionable methods for enterprise data integration, scalable middleware, auditing, and human-in-the-loop systems. Additional coverage of topics such as custom model training, LLM fine-tuning, security, compliance, automated testing, and the expanding frontier of multimodal and agent-based AI ensures that this guide serves as an indispensable reference for anyone serious about building robust, ethical, and future-ready conversational AI applications.
Puntuacions i ressenyes
5,0
1 ressenya
Puntua aquest llibre electrònic
Dona'ns la teva opinió.
Informació de lectura
Telèfons intel·ligents i tauletes
Instal·la l'aplicació Google Play Llibres per a Android i per a iPad i iPhone. Aquesta aplicació se sincronitza automàticament amb el compte i et permet llegir llibres en línia o sense connexió a qualsevol lloc.
Ordinadors portàtils i ordinadors de taula
Pots escoltar els audiollibres que has comprat a Google Play amb el navegador web de l'ordinador.
Lectors de llibres electrònics i altres dispositius
Per llegir en dispositius de tinta electrònica, com ara lectors de llibres electrònics Kobo, hauràs de baixar un fitxer i transferir-lo al dispositiu. Segueix les instruccions detallades del Centre d'ajuda per transferir els fitxers a lectors de llibres electrònics compatibles.
