A Rust dataset-filtering experiment using Jev scores to keep or reject text records.
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git clone https://github.com/AkashPriyadarshii/jev-curate.gitPer week
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A Rust dataset-filtering experiment using Jev scores to keep or reject text records.
Runs local prefilters, calls TypeSafe and applies probability and score thresholds to each record.
Provides local prefilters and score thresholds for experimenting with per-record data pipelines.
Reviewed the Rust API and filtering path; the advertised 1,500+ rows/sec has no verified measurement and the checked Python binding lacks the documented sift method.
Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.
Source: AkashPriyadarshii/jev-curate — 34 stars, MIT. Listed by Awesome Jev.
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