Re: Re: Proposal -- Interpretation of DFSG on Artificial Intelligence (AI) Models
Gunnar Wolf <[email protected]>
| Newsgroups | gmane.linux.debian.devel.vote,gmane.linux.debian.devel.general |
|---|---|
| Message-ID | <[email protected]> |
Stephan Verbücheln dijo [Mon, Apr 28, 2025 at 03:46:27PM +0000]: >(...) >> The “source code” for a work means the preferred form of the work >> for making modifications to it. > >In that definition, training data is quite obviously relevant. No one >tweaks neural network model weights manually. > >Compare this to the previously mentioned example of S-boxes in >cryptography. They are small and usually created manually. I understand that, when you consider trained models as the "thing" to be modified, the preferred form of modification is the model itself: What RAG does is to have a base trained LLM (confering the "mastery" of language), and training over it with the domain-specific knowledge.
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