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ChatGPT for Java: A Hands-on Developer's Guide to ChatGPT and Open AI APIs
Embrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs.
This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more.
As a result, developers will understand that generative AI tools will not replace software development jobs! Instead, you will leverage ChatGPT as your Java AI-pair programmer to increase speed and productivity. You will also learn how ChatGPT can provide powerful Natural Language Processing (NLP) capabilities to your Java apps in order to understand various formats of unstructured text. Step-by-step, you will apply the concepts covered to create your own intelligent chatbots that can automatically process messages from either Slack on Discord.
With this book, Java developers will be empowered to take their applications to new heights by leveraging the power of AI as this exciting field continues to evolve and transform.
What You Will Learn
Authenticate with the ChatGPT and OpenAI APIs and learn how to engineer and send promptsTest your prompts in the ChatGPT PlaygroundHow to use multiple artificial intelligence models Harness the power the temperature, top_p, and other parameters that can ONLY be accessed by developers to create more unique and engaging responses from ChatGPTCreate intelligent bots for Slack or Discord serversIncorporate context into prompts for betterresponses and apply advanced features of the APIs.Explore future directions for ChatGPT and OpenAI Who This Book Is For
Beginning and intermediate Java developers who have a basic understanding of Java programming concepts and are interested in learning how to add intelligence to their applications by using ChatGPT programmatically. No prior experience with ChatGPT or OpenAI APIs is required.
This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more.
As a result, developers will understand that generative AI tools will not replace software development jobs! Instead, you will leverage ChatGPT as your Java AI-pair programmer to increase speed and productivity. You will also learn how ChatGPT can provide powerful Natural Language Processing (NLP) capabilities to your Java apps in order to understand various formats of unstructured text. Step-by-step, you will apply the concepts covered to create your own intelligent chatbots that can automatically process messages from either Slack on Discord.
With this book, Java developers will be empowered to take their applications to new heights by leveraging the power of AI as this exciting field continues to evolve and transform.
What You Will Learn
Authenticate with the ChatGPT and OpenAI APIs and learn how to engineer and send promptsTest your prompts in the ChatGPT PlaygroundHow to use multiple artificial intelligence models Harness the power the temperature, top_p, and other parameters that can ONLY be accessed by developers to create more unique and engaging responses from ChatGPTCreate intelligent bots for Slack or Discord serversIncorporate context into prompts for betterresponses and apply advanced features of the APIs.Explore future directions for ChatGPT and OpenAI Who This Book Is For
Beginning and intermediate Java developers who have a basic understanding of Java programming concepts and are interested in learning how to add intelligence to their applications by using ChatGPT programmatically. No prior experience with ChatGPT or OpenAI APIs is required.
240 pages, Kindle Edition
Published February 27, 2024
2 people are currently reading
6 people want to read
About the author
Bruce Hopkins
10 books2 followersLibrarian note:
There is more than one author in the GoodReads database with this name
There is more than one author in the GoodReads database with this name
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Displaying 1 of 1 review
June 19, 2024
“ChatGPT for Java” is a great way to learn about using ChatGPT in general and accessing Java APIs. It's a relatively short book (225 pages), but the pages are narrower than your traditional tech book. This is great for carrying the book around with you. It's not so great for reading code or looking at tables. I felt like there was a lot of wasted space in the tables and the description column would be 4-5 words long. There was alos 2.5 pages of a bulleted list that I was wondering why it wasn't two columns. None of this takes away from the content of course.
Early on the book explains how prompts work with a great example. The author compares to regular expressions. I do have to comment re page 6's “I'm thoroughly convinced that every programmer somewhere in their lifetime has met *some guy* who happens to be an expert in writing regular expressions. That's me! Minus the guy part. I did enjoy why LLM and regular expressions are different.
The vocabulary section was great showing that models and tokens are in Java vs in LLMs. I appreciated the samples of good Dall-E prompts including specifying what should be in the foreground. And I loved “Crook's bank” to ensure it doesn't collide with a real back name. I should hope not!
The Java code was good although I was a little puzzled why chapter 2's example didn't use a try with resources (later chapters did). Also text blocks (multiline string) were used at the end but not consistently. There was good use of the builder pattern. The reference tables were good other than the narrowness.
Disclosure: I received a copy of this book from the publisher in exchange for writing this review.
Early on the book explains how prompts work with a great example. The author compares to regular expressions. I do have to comment re page 6's “I'm thoroughly convinced that every programmer somewhere in their lifetime has met *some guy* who happens to be an expert in writing regular expressions. That's me! Minus the guy part. I did enjoy why LLM and regular expressions are different.
The vocabulary section was great showing that models and tokens are in Java vs in LLMs. I appreciated the samples of good Dall-E prompts including specifying what should be in the foreground. And I loved “Crook's bank” to ensure it doesn't collide with a real back name. I should hope not!
The Java code was good although I was a little puzzled why chapter 2's example didn't use a try with resources (later chapters did). Also text blocks (multiline string) were used at the end but not consistently. There was good use of the builder pattern. The reference tables were good other than the narrowness.
Disclosure: I received a copy of this book from the publisher in exchange for writing this review.
Displaying 1 of 1 review