Learn how to use the large-scale natural language processing model developed by ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human communication and interaction. Author Eric Sarrion examines various aspects of ChatGPT, including its internal workings, use in computer projects, and impact on employment and society. He also addresses long-term perspectives for ChatGPT, including possible future advancements, adoption challenges, and considerations for ethical and responsible use. The book starts with an introduction to ChatGPT covering its versions, application areas, how it works with neural networks, NLP, and its advantages and limitations. Next, you'll be introduced to applications and training development projects using ChatGPT, as well as best practices for it. You'll then explore the ethical implications of ChatGPT, such as potential biases and risks, regulations, and standards. This is followed by a discussion of future prospects for ChatGPT. The book concludes with practical use case examples, such as text content creation, software programming, and innovation and creativity.
This essential book summarizes what may be one of the most significant developments in artificial intelligence in recent history and provides useful insights for researchers, policymakers, and anyone interested in the future of technology.
What You Will Learn Who This Book Is For Software developers and professionals, researchers, students, and people interested in learning more about this field and the future of technology.
Apress should be ashamed for taking advantage of the hype and publishing this. It reads like it was written by ChatGPT: the content is very basic and the writing style is verbose and repetitive.
One sentence in particular stood out as a ChatGPT hallucination: "For instance, it is worth mentioning the existence of Meta's LLAMA, a powerful open source Legal Language Model Architecture that utilizes the Jurassic algorithm, among other technologies." Legal Language Model?? LLaMA stands for Large Language Model Meta AI, and Jurassic is another company's large language model, not an algorithm.
Another sign of heavy ChatGPT usage is that the author published Apress books in August, October, and December of 2023. No one write a good non-fiction book in 2 months.
I don't want to over-emphasize how the author creates the book but this should give you an idea of what this book is.
On the plus side it's mercifully short at only 200 pages. You can skim it in a couple of hours because so much of the text is long ChatGPT responses. For example, one chapter gives an 18 line product description of a car and then asks ChatGPT to translate it into four languages. It's 4.5 pages just for that. Another has 7 pages of responses where ChatGPT generates a short story.
It was still a struggle to finish despite the length, and I learned very little. I considered rating it 2 stars because maybe someone could get some value out of it, if they knew absolutely nothing about ChatGPT, would rather read a book than google (or ask ChatGPT), and had a high tolerance for low-content, mind-numbing prose. There is perhaps a small amount of value in the technical chapters as well. But I'm hard-pressed to imagine a worse published book, so 1 star it is. The author's lack of effort deserves no better.