Show HN: Jev-align, a CLI to calibrate Jev to your judgement (github.com)

Sutro has launched a new command-line interface (CLI) tool called jev-align, designed to help developers calibrate their AI models by labeling uncertain examples in their datasets. The tool leverages GEPA (Generalized Ensemble of Predictive Algorithms) to improve model accuracy based on user-provided labels. Users can configure how many annotations they want per round and evaluate their data for uncertainty, making it an interactive and iterative process for refining judgment in machine learning applications. This release is significant for the AI/ML community as it addresses the common challenge of annotating ambiguous data in a systematic way, encouraging continuous learning from real-world examples. With compatibility for various data formats (CSV, Parquet, JSONL) and integration options for AI service providers like OpenAI, Anthropic, and Gemini, jev-align offers a flexible and extensible way to enhance model performance. By empowering users to directly engage with data labeling, the tool stands to streamline the model refinement process, ensuring more reliable predictions aligned with human judgment.