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…
Is matching prompts to agents a popular research problem? Does anyone know of some related work?
CUDA applications are usually written in C++. Also, I think HFT normally works with processing tasks that can’t be done in parallel.
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…
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…
Is matching prompts to agents a popular research problem? Does anyone know of some related work?
CUDA applications are usually written in C++. Also, I think HFT normally works with processing tasks that can’t be done in parallel.
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…