Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
A 4B decision model: calibrated probabilities for yes/no, choice and score questions over long inputs.
RLCDAlignBench: 44 alignment-failure detection benchmarks and code for 'Just Ask Jev' (RLCD zero-shot detector of AI alignment failures)
An automated, multi-turn LLM red-teaming pipeline that pits an Attacker model against a Target model to evaluate safety boundaries, featuring LLM-as-a-Judge scoring and an interactive HTML vulnerability dashboard.