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Your language model forgets everything. Sillage gives it a 4 MB memory that persists across sessions, no gradients, no fine-tuning, no growing index. Beats an unbounded kNN-LM at 1/13 the storage (…
Fixed-size sketches of probability distributions: Bhattacharyya coefficient and Hellinger distance from ~1 KB per profile, with error independent of alphabet size. Library + fully verified paper (e…
Behavioural attestation for deployed language models: is the model you serve the model you validated? 1 KB/position fingerprints that catch silent sampling filters, quantisation and template bugs.