Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
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Updated
Sep 20, 2026 - Python
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
GLiClass inferences in Rust
Python bindings to Inference engine for GLiNER models written in Rust
Zero-shot information extraction & classification: GLiNER 2.5 vs GLiFormer vs Laya vs Jev — demos, cross-benchmark, web UI
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
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