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ethav1

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ethav1
·3 tahun yang lalu·discuss
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 better in this case.
ethav1
·3 tahun yang lalu·discuss
Is matching prompts to agents a popular research problem? Does anyone know of some related work?
ethav1
·3 tahun yang lalu·discuss
CUDA applications are usually written in C++. Also, I think HFT normally works with processing tasks that can’t be done in parallel.
ethav1
·4 tahun yang lalu·discuss
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 remove generated images.

[0]: https://github.com/LAION-AI/laion-datasets/blob/main/laion-a...