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What is Chatgpt Doing... and Why Does it Work?: True Tales from All 50 States Paperback – 9 March 2023
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- Print length102 pages
- LanguageEnglish
- PublisherWolfram Media Inc
- Publication date9 March 2023
- Dimensions22.9 x 0.8 x 15.1 cm
- ISBN-101579550819
- ISBN-13978-1579550813
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Product description
Review
"This is the best explanation of what ChatGPT is doing that I've seen."
-Sam Altman, CEO of OpenAI (creators of ChatGPT)
About the Author
Product details
- Publisher : Wolfram Media Inc (9 March 2023)
- Language : English
- Paperback : 102 pages
- ISBN-10 : 1579550819
- ISBN-13 : 978-1579550813
- Item Weight : 181 g
- Dimensions : 22.9 x 0.8 x 15.1 cm
- Country of Origin : India
- Best Sellers Rank: #164,409 in Books (See Top 100 in Books)
- #302 in Software Design & Engineering
- #404 in Artificial Intelligence
- #1,281 in Computer Science Books
- Customer Reviews:
About the author

Stephen Wolfram has had a unique trajectory in science, technology and business. Widely known for his discoveries in basic science and his groundbreaking 2002 book "A New Kind of Science," he has spent more than three decades building what is now Wolfram Language: the knowledge-based computer language that powers Mathematica and Wolfram|Alpha and has contributed to countless inventions and discoveries, as well as to the education of several generations of students.
Wolfram was born in London and educated at Eton, Oxford and Caltech, earning his PhD in physics in 1979 at the age of 20. After a brief but distinguished academic career, he founded Wolfram Research in 1987 and as CEO has built it into one of the world’s most respected and innovative software companies, whose products are relied on by millions of people around the world.
Customer reviews
Reviews with images
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Even the hardcover book is having black and white figures
Top reviews from India
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- Reviewed in India on 6 September 2023Verified PurchaseFull of theory and you would love the statistics. Nothing about the chatgpt prompts here. Learn about neural nets or neural networks.
- Reviewed in India on 3 January 2025Verified PurchaseVery nice and gentle introduction to the world of AI (not everything but just the LLM part). You don't need to have a lot of background to cover this book.
- Reviewed in India on 5 May 2023Verified PurchaseThis was recommended to me by my colleague, who is working with me on a project involving AI and ChatGPT. I loved the simplistic explanations in the first part of the book and the comparisons between the (inaccurate, but plausible) responses provided by ChatGPT and Wolfram Alpha. That really grounds you in understanding how one should use ChatGPT for general purposes.
- Reviewed in India on 3 December 2024Verified PurchaseI have received the book is very bad quality and printing is also not good
- Reviewed in India on 21 June 2023Verified PurchaseI purchased hardcopy thinking it'd be of better quality and have colored print. Highly disappointed ☹️.
2.0 out of 5 starsI purchased hardcopy thinking it'd be of better quality and have colored print. Highly disappointed ☹️.Even the hardcover book is having black and white figures
Reviewed in India on 21 June 2023
Images in this review
- Reviewed in India on 12 June 2023Verified PurchaseThe book is more of an attempt to show how much the author understands the subject, not really to teach the subject matter. The diagrams which are key to drive home the point are small, skewed and in black and white (even when color coded). It is just a hurried attempt to cash in on the hype. It does not even motivate the subject. It is more like an executive summary.
Top reviews from other countries
- TSReviewed in the United States on 21 March 2024
5.0 out of 5 stars This is an important book.
Verified PurchaseA most distinguished member of the academy, Steven Wolfram has provided a substantial contribution to the body of thought on AI.
As the world is agog with the mystery, potential, risk, and opportunity associated with large language models, Dr. Wolfram provides a clear concise explanation of how LLMs came into being, how they work, the class of problems that they address, the large class of problems that they will not address, and the extent to which they are inexplicable.
AI changes everything and Generative AI significantly accelerates that change. Fueled by the advent of LLM’s, AI has moved to the top of the agenda of though leaders in the academy, industry, and government.
We are seeing innovative, previously unimaginable breakthrough applications of LLMs introduced daily. The scope of the application of these models to change the way we work, communicate, administer, and entertain is staggeringly large and unknowably vast.
As you attempt to parse the cacophony of messaging from the large and growing chorus of technology providers, politicians, media, opportunists, charlatans, fear mongers, and pundits regarding LLMs, Dr. Wolfram ‘s book will provide you a solid grounding of what this stuff really is, what it can do, and – importantly -- what it cannot do.
- Tom G.Reviewed in Belgium on 26 July 2024
2.0 out of 5 stars Badly written and hardly informative
Verified PurchaseThis is one of the most poorly written books I've ever read; for someone who works on language tools, Wolfram seems to have little to show for it. When you see that one paragraph in three begins with "OK, so", you already know that you'll have to brace yourself.
The writing style is quite bad and confusing, with a lot of parentheses and a copious use of quotes for common words or obvious analogies. There is no clear structure, and the topic suddenly changes from one paragraph to the next without any proper transition. Conjunctions seem to be randomly used, and I won't even talk about the punctuation. It's almost like reading the transcript of a young student struggling to explain something newly learned to another.
For a topic that isn't trivial, adding so much confusion is a fatal mistake. Fortunately, I know enough about neural networks, and I have some basic insight into LLMs, or I wouldn't have been able to read past the first chapter.
The content is rather disappointing. When I ordered this book, I was hoping to get a better insight into the LLM-based engines and why they worked so well, perhaps also what they do well, how they could evolve, or how they shouldn't be used. Unfortunately, the author doesn't really answer the question in the title and doesn't attempt to address the other related topics. Most of the time, the answer is "we don't know why it works or why we do it like that", which might be partly true but makes me wonder if that's the right person to write such a book (or if it was worth writing in the first place).
The author doesn't miss an opportunity to talk about Wolfram tools, though. Is that advertising in disguise, seizing the opportunity created by the current AI hype? Why, instead of presenting some obscure tool screenshot, hasn't he used simple diagrams or more commonly used tools? The charts, where the colours needed to interpret them have been greyed out, are also quite a letdown.
I've seen relatively short videos that did a much better job of explaining GPT's inner workings and discussing their limitations or possible evolution. For example, search for videos made by Judie Burchell or Jeremy Howard. There's simply no upside to this book that I can think of.
Don't bother.
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GDKWIReviewed in France on 13 March 2024
5.0 out of 5 stars Tout comprendre du fonctionnement interne de ChatGPT
Verified PurchaseAssez technique mais passionnant pour les aficionados !
Avec en prime des réflexions sur ce que tout ça nous enseigne du fctnnmt du cerveau.
- Jose J_DReviewed in Spain on 27 December 2023
4.0 out of 5 stars Interesting book, ...but not so easy
Verified PurchaseThis book is written by a person who has been working on AI and has been somewhat surprised by the success of Chatgpt. It is certainly worth reading, but a certain level of expertise on computation theory is necessary to understand it fully. Interesting to see the limitations of Chatgpt and LLM models. I think it is very good, but the title is a little misleading (that is why I do not give 5 *)