José Campos
@zecarloscampos
Assistant Professor at University of Porto 🇵🇹
Previously at University of Lisbon 🇵🇹, University of Washington 🇺🇸, and University of Sheffield 🇬🇧
ID: 14834459
http://jose.github.io 19-05-2008 16:18:27
424 Tweet
178 Followers
355 Following
New group at Google with focus on ML debugging is looking for qualified candidates. Reach out to [email protected] if you are interested. The group will be responsible for ML debugging infrastructure covering performance debugging,
"Perhaps we might move away from basing grants and financial security on how many papers we can produce. After all, with the help of our AI first author, we’d be able to produce one per day." Could #AI algorithms upend publish-or-perish? augmentedrobot 2.0 pprpl.co/3OW7AZG
This, via Python Weekly, seems pretty impressive. I'm still disinclined to let GPT-3 *write* my code, but I gotta admit, having it explain my old #Python code to me sounds tempting! Although I hate to think what kind of bad habits this wil reinforce ... simonwillison.net/2022/Jul/9/gpt…
I was recently speculating if AI “Prompt Designer” could one day become a profession. Thanks to José Campos I now realize you can already make money out of that promptbase.com
Quote of the day from Nathan Sobo: "The code you can test is the code you can change. The code you can change is the code you can make good."
LLMs can write code, but they can't maintain mental models. Engineers test as they go. When tests fail, they check their mental model to decide whether to fix the code or the tests. Conrad Irwin on why LLMs can't really build software: zed.dev/blog/why-llms-…
Type I and type II errors are widely used terms for false positive and false negative. It's really hard to remember their meanings, so I have drawn an image with an easy to remember mnemonic. Inspired by Chris Albon and his #machinelearningflashcards