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Ultimate ChatGPT Handbook for Enterprises: Transform the Enterprise Landscape by Leveraging AI Capabilities, Prompt Engineering, GPT Solution-Cycles of ChatGPT with Python and Java (English Edition)
by 作者: Dr. Harald Gunia (Author), Massimiliano Zattera (Author), Karolina Galinska (Author)
Publication Date 出版日期: 2023-11-21
Publisher Finelybook 出版社: Orange Education Pvt Ltd
Language 语言: English
pages 页数: : 609 pages
ISBN-10 书号: 8119416406
ISBN-13 书号: 9788119416400
Book Description
Empowering the Global Workforce with ChatGPT Expertise.
Book Description
“Ultimate ChatGPT Handbook for Enterprises” is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPT's evolution, capabilities, and its potential to democratize technology interactions through natural language.
Throughout its chapters, you'll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles.
The latter chapters will help you attain proficiency in managing GPT projects, and discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java.
This book offers practical insights and applicable skills, fostering informed dialogue and active participation in the ongoing enterprise AI revolution. If you want to stay at the forefront of the rapidly evolving AI landscape and unlock enterprise excellence through ChatGPT, this book is your go-to companion.
Table of contents
1. From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI
2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT
3. The Impact of ChatGPT on the Enterprise
4. Architecture Patterns enabled by GPT-Models
5. Advanced GPT Prompt Engineering Techniques
6. Designing Prompt-based Intelligent Assistants
7. Mastery of GPT-Projects
8. LangChain: GPT Implementation Framework for Python
9. predictive-powers: GPT Implementation Framework for Java
Appendix A:
Appendix B: Amazon page
