Collective AI Judgment for Smarter Models
JuryMind AI is designed to harness the power of large language models (LLMs) as intelligent judges. Our platform enables automated LLM evaluation, prompt optimization, dataset generation and auto-labeling with agentic AI judges working collaboratively — like a jury of experts.
JuryMind AI empowers ML teams, AI researchers, and startups to measure, refine, and improve their language models and prompt engineering workflows with minimal manual effort.
- LLM Evaluation: Score model outputs based on customizable criteria using expert LLM judges.
- Prompt Optimization: Iteratively improve prompts to achieve specified goals like clarity, relevance, or conciseness.
- Dataset Generation Generate high-quality datasets over your data.
- Auto Labeling: Generate high-quality labels automatically using AI-driven judgments.
- Agentic Judges: Leverage multiple AI agents working in parallel or consensus for robust evaluations.
- Modular Architecture: Easily extend the platform with modules like JudgeLab(TBD), PromptLab(TBD), and LabelLab(TBD).
- Python 3.8+
- Docker & Docker Compose
- OpenAI API key (set in
.env)
- Clone the repo:
git clone https://github.com/yourusername/jurymind-ai.git cd jurymind-ai