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Is there a legal distinction between training, post-training, fine tuning and filling up a context window? In all of these cases an AI model is taking a copyri
by paxys 8mo ago
Is there a legal distinction between training, post-training, fine tuning and filling up a context window?
In all of these cases an AI model is taking a copyrighted source, reading it, jumbling the bytes and storing it in its memory as vectors.
Later a query reads these vectors and outputs them in a form which may or may not be similar to the original.
- SatvikBeri 8mo agoJudges have previously ruled that training counts as sufficiently transformative to qualify for fair use: https://www.whitecase.com/insight-alert/two-california-district-judges-rule-using-books-train-ai-fair-use https://www.whitecase.com/insight-alert/two-california-distr... I don't know of any rulings on the context window, but it's certainly possible judges would rule that would not qualify as transformative.
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- derangedHorse 8mo agoThe context window is quite literally not a transformation of tokens or a "jumbling of bytes," it's the exact tokens themselves. The context actually needs to get passed in on every request but it's abstracted from most LLM users by the chat interface.