jevbench: six classifiers compared, calibration included
Jev against GPT-5-mini, Claude Sonnet 5, fine-tuned DistilBERT, BART NLI and Laya on SST-2, AG News and more, reporting accuracy, macro-F1, ECE, latency, throughput and cost.
BUILDS
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
6 builds
Jev against GPT-5-mini, Claude Sonnet 5, fine-tuned DistilBERT, BART NLI and Laya on SST-2, AG News and more, reporting accuracy, macro-F1, ECE, latency, throughput and cost.
Describe a past Claude Code, Codex or OpenCode session in plain words; Chat Seek searches the local histories and reranks the matches with Laya.
Collects vacancies from jobnet.dk and jobindex.dk, filters them against a candidate profile and ranks the matches locally.
GLiNER, GLiClass, Laya, Von, Jev and more in one web UI, with demos, benchmarks, model sizes and licences.
A frozen protocol on four datasets with raw predictions, calibration and latency: Laya ties Jev on one and trails by 10–33 points on the others.
Shows across 400 documents that the decision head's attention falls off after roughly 200 tokens, then provides a chunking harness that restores accuracy on long inputs.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.