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3 posts in total
The reading list I put together on stealing models through APIs, model inversion and gradient leakage, deduplicated and checked, with one line on what each source does.
The prompt templates I use to push research agents into delivering more accurately: role, objective, style, discovery sources and mandatory metadata. And what happened when I checked the result.
What semantic drift is in long-form text generation, how the paper by Spataru et al. measures it, what they found across six models and what works to reduce it, with the formula and code checked against the paper.