Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
ethav1
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
3 ms
·
1.
▲
by
ethav1
3y ago
It works by self-generating responses to red-team prompts and self-generating safe corrections to those then using RLHF with the corrections. It isn’t a major departure from traditional RLHF so it is interesting that it performs so much bet
2.
▲
by
ethav1
4y ago
Is matching prompts to agents a popular research problem? Does anyone know of some related work?
3.
▲
by
ethav1
4y ago
CUDA applications are usually written in C++. Also, I think HFT normally works with processing tasks that can’t be done in parallel.
4.
▲
by
ethav1
4y ago
Datasets can be manually curated to contain primarily original images if this becomes a real issue. For example, classifiers can predict whether an image is generated or not. You could adapt the process used to create laion-aesthetic[0] to