Pareto Overview

Pareto is an extensive data collection and AI network that connects AI organizations with data experts to help customize, improve, and perfect AI and Large Language Models (LLM) with quality data and expert labeling. Pareto also helps organizations hone labels, enhance guidelines, and track performance.

The Pareto AI network is composed of master annotators, evaluators, and prompt engineers with proven results working with the top AI and Machine Learning (ML) companies in the world. 

Key Pareto Features

Pareto’s key features and use cases include the following:

• Data Labeling & Dataset Creation: Pareto uses precise labeling and carefully curated foundational data to streamline and optimize the process of model training, for improved outputs.
• RLHF: Pareto provides human feedback, demos, and evaluations of AI model outputs to refine results.
• Model Comparisons: Pareto offers side-by-side model comparisons where models are ranked and evaluated by quality, accuracy, and relevance.
• Unique Prompt Creation: Pareto can help create unique, compelling content with effective prompts to train for relevant responses, optimal quality, and engagement in content across many applications in an organization.
• Creative Hallucination Inducement: Pareto employs expert strategies to induce rule-breaking behavior in AI models so that areas of improvement can be identified and addressed.
• AI Compliance & Ethics: Pareto supports strong ethics by identifying harmful or illegal behavior in models, providing feedback and changes needed to keep organizations compliant.