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It's hard to call comprehensive. Transformers - one page. A picture would be nice. No "prompt engineering", no "double deep". In fact words "prompt" and "double
by two_in_one 3y ago
It's hard to call comprehensive. Transformers - one page. A picture would be nice. No "prompt engineering", no "double deep". In fact words "prompt" and "double" aren't used at all. "Recognition" is used only once outside of bibliography just for reference. Looks like theory will not catch up with practice any time soon. With looming singularity it's bit worrying.
- tnecniv 3y agoRight in the title it explains it’s a book on theory. “Prompt engineering” doesn’t really fit in any theoretical framework I’m aware of and, while I also like graphics, most theory publications are light on them. You might be looking for a different kind of book, which is fine, but I think the content matches the title. Also, a book on theory is going to lag quite a bit in terms of topics. The general process is that people discover something new and interesting empirically and publish articles on it. Other people develop theory explaining why that things work and publish articles on it. Once the theory gets crystallized, big ideas get distilled into a book.
- nephanth 3y agoIt's an introductory book though? I don't think it aims at being comprehensive That said, i do agree that more on transformers would be nice since they're becoming quite central in every field of machine learning. Prompt engineering is extremely new, vastly empirical, and theory on is still only beginning (though i do remember seeing some nice papers passing). It would probably be a mistake to include it in an introductory book I have never heard of "double deep", what is that?
- fourier456 3y agoThis just isn’t really a good book. One sign; it’s an arXiv book.
- deleted 3y ago[deleted]