
What is Parea AI?
Parea AI is an experimentation and human annotation platform designed for AI teams. It provides tools for experiment tracking, observability, and human annotation, helping teams confidently ship LLM applications to production. Parea AI offers features such as auto-creating domain-specific evals, performance testing and tracking, debugging failures, human review, prompt playground, deployment tools, observability, and dataset management.
How to use Parea AI?
Parea AI can be used by integrating its Python or JavaScript SDKs into your LLM application development workflow. The platform allows you to log data, run experiments, evaluate performance, collect human feedback, and deploy prompts.
Parea AI’s Core Features
Evaluation: Test and track performance over time, debug failures. Human Review: Collect human feedback, annotate and label logs. Prompt Playground & Deployment: Tinker with prompts, test on datasets, and deploy. Observability: Log data, debug issues, run online evals, and track cost, latency, and quality. Datasets: Incorporate logs into test datasets and fine-tune models.
Parea AI’s Use Cases
- Testing and evaluating LLM application performance.
- Collecting human feedback for model improvement.
- Debugging issues in production and staging data.
- Optimizing prompts and deploying them to production.
- Fine-tuning models using production data.
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