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Practical java programming with ChatGPT : develop, prototype and validate java applications by integrating openAI API and leveraging generative AI and LLMs / Alan S. Bluck.

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Format:
Book
Author/Creator:
Bluck, Alan S., author.
Language:
English
Subjects (All):
Artificial intelligence.
Java (Computer program language).
Physical Description:
1 online resource (199 pages)
Edition:
First edition.
Place of Publication:
Delhi, India : Orange Education Pvt Ltd, [2023]
Summary:
Embark on a Fascinating Journey into AI-Powered Software Development with ChatGPT. This transformative book challenges the conventional speed of software development by showcasing a diverse array of inquiries directed at cutting-edge AI tools, including Ask AI, ChatGPT 3.5, Perplexity AI, Microsoft Bing Chatbot based on ChatGPT 4.0, and the Phed mobile app. Diving deep into the integration of Java and ChatGPT, this book provides readers with a comprehensive understanding of their synergy in programming. Each carefully crafted question serves as a testament to ChatGPT's exceptional ability to swiftly generate Java programs. The resulting code undergoes rigorous validation using the latest open-source Eclipse IDE and the Java language, empowering readers to craft efficient code in a fraction of the usual time. The journey doesn't end there--this book looks ahead to the promising future of ChatGPT, unveiling exciting potential enhancements planned by OpenAI. These innovations are poised to usher in even more formidable AI-driven capabilities for software development.
Contents:
Intro
Cover Page
Title Page
Copyright Page
Dedication Page
About the Author
About the Reviewer
Acknowledgement
Preface
Errata
Table of Contents
1. Getting Started with ChatGPT
Introduction
Structure
AI Suggested book titles
Copyright laws for AI-Generated Java code
Creating an account for the Free ChatGPT V. 3.5
Installing and using the Android phone App, Ask AI
Creating an account for the Subscribed ChatGPT-4
Conclusion
Points to remember
Multiple choice questions
Answers
Questions
Key terms
2. Java Programming - Best Practices as Stated by ChatGPT
The principles of SOLID
Best Practice for Java code indentation
SOLID Code Examples
Single Responsibility Principle (SRP)
Open/Closed Principle (OCP)
Liskov Substitution Principle (LSP)
Interface Segregation Principle (ISP)
Dependency Inversion Principle (DIP)
3. Developing Java Code for Utilizing the ChatGPT API
The ChatGPT API overview
Validation of the suggested API Code
Accessing the ChatGPT-referenced OkHttp Java Library Jar files
Accessing the ChatGPT Secret API Key
Using ChatGPT Model Ids
Points to Remember
Multiple Choice Questions
Key Terms
4. Java Program for Using Binary Search
AI prompt and response
Java code validation using Eclipse Java code
5. Installation of the Latest Open-source Eclipse Java IDE
Downloading the Eclipse Java IDE
Eclipse IDE validation of the Binary Search code
Perplexity.
Creating the Java BinarySearch class
Running the Eclipse Java Program
Binary Search Validation Java Program Output
6. ChatGPT Generated Java Code for Fourier Analysis
MP4 Fourier Analysis Java Code
MP4 Fourier Analysis Java Code - according to OpenAI ChatGPT
Fourier Analysis for MP4 java code validation using an Eclipse Java Program Project
ChatGPT generated Java code for Fourier Analysis of a Sine wave
Sine wave Fourier Analysis java code validation using an Eclipse Java
7. ChatGPT Generated Java Code for the Fast Fourier Transform
AI Fast Fourier Transform Java code ChatGPT prompted Java Program
Fast Fourier Transform Java code validation using an Eclipse Java Program Project
Question
8. ChatGPT Generated Java Code for Indexing a Document
ChatGPT generated Java code for indexing a document giving keywords and page numbers
Document Indexing Java code validation using an Eclipse Java Program Project
9. ChatGPT-generated Java Code for Saltikov Particle Distribution
ChatGPT-generated Java code for the Saltikov determination of the size distribution of particles
Saltikov determination of the particle's size distribution - Java code validation using a new Eclipse IDE Project
Key terms.
10. ChatGPT-generated Java Code to Invert a Triangular Matrix
ChatGPT-generated Java code to invert a triangular matrix to obtain the coefficients of a polynomial
Triangular matrix inversion to obtain the coefficients of a polynomial - Java code validation using an Eclipse Java Program Project
Validation Test 1
Validation Test 2
MagicSquare example
11. ChatGPT Generated Java Code to Store a Document in the IBM FileNet System
ChatGPT generated Java code to store a document in the latest IBM FileNet Document Management system
Store a document in the latest IBM FileNet Document Management system - Java code validation using an Eclipse Java Program Project
12. Conclusions and the Future of ChatGPT for Program Development
Conclusions and the future of ChatGPT for program development
The future of AI and ChatGPT
AI Bias effects on the responses
ChatGPT taking Jobs from People
Building a Custom ChatGPT with Your Own Additional Data
Using AI Transfer Learning
IBM and Generative AI With Watsonx
Security Threats and Privacy Concerns
Alternative Code Assistant AI Software - ChatGPT Alternatives for Coding Programs Automatically
Llama 2 code AI free use
Setting up Jupyter Notebook environment
GPT4All and How It Works
GitHub Copilot
Google Duet AI
Codeium
CodeWhisperer
Falcon-180B
13. Appendices for Additional Questions
Appendix A - Further AI questions for ChatGPT.
Appendix B - FAQs and answers for ChatGPT
FAQs (from the website)
Appendix C - ASB Software Development Limited Publication's
Molecular Biology Installations - ASB Software Development Limited Publications
IBM Installations - ASB Software Development Limited Publications
Contact Details
Related
References
Index.
Notes:
Description based on publisher supplied metadata and other sources.
Description based on print version record.
Includes bibliographical references and index.
Other Format:
Print version: Bluck, Alan S. Practical Java Programming with ChatGPT: Develop, Prototype and Validate Java Applications by Integrating OpenAI API and Leveraging Generative AI and LLMs
ISBN:
9788119416790
8119416791

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