Embedded AI

Discussion (7 Comments)Read Original on HackerNews

chenzheng•24 minutes ago

Nice to see NSP cover this space. Curious if it goes into quantization for real hardware targets, or stays at the framework level.

seamossfet•about 2 hours ago

Has anyone read this yet? I'm extremely skeptical of any book published after ~2024 just because of how much AI slop is in physical books these days.

Looks interesting, but I'd like to see some reviews on the content first before buying.

gumby•about 1 hour ago

Bill Pollock (who is nonstarch press) is a very serious editor so I would not worry about that with NSP books.

Of course it’s a small operation, and so isn’t under the same pressures of a big operation. When you’re a boutique operation your only differentiation is quality. Your rule of thumb is unfortunately probably pretty good in the general case.

matherial•about 1 hour ago

The editor is not the one producing the text. For this book, the sample chapter seems to make heavy use of LLM output. Pangram agrees. I guess that for books about AI it's fair game? Eat your own dog food so to speak. People who don't like AI are not the target audience.

dominotw•31 minutes ago

kind of the expensive side.

honest question, how is it better than posting toc on chatgpt and asking it to explain it to you

mdp2021•2 minutes ago

Have you noticed, as part of the over-process you imply, that LLMs absorb knowledge but do not produce it?

schaefer•9 minutes ago

> honest question, how is [reading a book] better than posting toc on chatgpt and asking it to explain it to you

Since you're currently asking humans to explain this to you and not LLMs, you've already got your answer.

Embedded AI

⚡ Community Insights

Discussion (7 Comments)Read Original on HackerNews