Data Labeling & Curation

pandas and Polars .jev accessor for classifying, sentiment-scoring and grading DataFrame rows with Jev probabilities.

CLI that scans tabular, structured and text files or databases and asks Jev which fields look anomalous, building a review queue.

Browser CSV workbench that runs up to 20 user-defined Jev questions against selected rows, with a privacy-first proxy design.

Data-engineering demos putting Jev inside DuckDB SQL, dbt tests, Databricks and charting, with live versus simulated runs labelled.

Zero-dependency library that numbers a text's words so Jev can pick them, returning exact substrings for extraction and PII.

Pipeline that audits and refines topic-model clusters by checking each document against its topic label with a zero-shot decision model.

Workbench where Jev sorts training records into keep, review or reject, then trains LoRA adapters and evaluates them.

Daily research monitor: Jev screens new papers against your open questions, code routes keep/review/drop, an LLM writes notes.

Jag: Jev-inspired Qwen3.5-0.8B model that predicts a visual-grounding box in one forward pass, about 20x faster than its base.

Zero-shot named entity recognition that turns Jev's Choice answers into entity spans via nominate, verify and boundary questions.

Rust streaming filter that keeps or rejects JSONL and Parquet dataset rows using Jev Noul checks and confidence scores.