As they say, in this German discussion, you can direct the AI to integrate your own data set into the prompt. You don't necessarily have to train the AI directly.
But even training will quickly be possible on smaller machines.
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Yes, I know (this is what I kind of do most of my days - that integration of own data sets into prompts and responses, talking RAG and all). Still, though, I wonder whether / how Nostr will fit in here. So far, we see these two tendencies of companies / customers either opting for Microsoft Azure / OpenAI - to push cloud migration strategies they had in mind for ages but no chance to get done - or waiting for smaller, local models they can run on-prem with an acceptable amount of hardware. Still, though, with the out-of-the-box approach, using this kind of stuff in Azure is extremely attractive with all of the "features" it offers combined so this is hard to address for a lot of people.