There is a book written for non-majors about AI. The volume of the book can also

[AI Future]

There is a book written for non-majors about AI.
The volume of the book can also be read with 224 pages.

In the meantime, I have participated in several books as a public author, but I am happy to publish a solo book for the first time.

I tried to write it easily and interestingly. I gathered and organized thoughts that I had conveyed through lectures or lectures or that I usually said through Facebook.

I would like to thank the CEO of Force Publishing, who suggested writing after seeing the short article on Facebook, and the editor who worked hard to make it a good book.

Pre-orders began today at Internet bookstores, and shipments will begin on July 24th (Wednesday).

This book needs to be sold well so that the next book can also be promised.
Please share it widely and widely around!

The color of the book cover is also "purple."😎

"Language itself is a representation of human experience, but language is also a representation of human experience. Language is full of human experiences through biological bodies. The web of language woven by large language models is tighter than that of a single human, so there must have been more intense human experience. Large language models store what they have learned in parameters that store the connection weights of artificial neural networks. If so, this parameter is full of human thoughts and human experiences. The parameter contains a lot of the rest of human beings, except for the biological body."
--- Among p.97, "The Foundation of ChatGPT, Transformer Structure,"

"There is a flood of books explaining how to do prompt engineering well. But with a little thought, we can guess how to write a prompt that produces good results. Knowing human psychology and human language will certainly be beneficial for prompt engineering. Large-scale language models were created by mimicking humans and were learned with the information and knowledge that humans have accumulated. Large-scale language models can be seen as mirror-like beings that mirror humans. To understand artificial intelligence well, we need to understand humans well."
--- p.150, out of the "text generation model"