What is parea.ai
Parea AI is an experiment tracking and human annotation platform designed to help teams build production-ready LLM applications. It offers tools for testing, evaluating, and tracking the performance of AI systems over time, as well as collecting human feedback for fine-tuning and debugging.
How to Use parea.ai
- Evaluation: Test and track performance over time. Debug failures and answer questions like 'which samples regressed when I made a change?' and 'does upgrading to this new model improve performance?'
- Human Review: Collect human feedback from end users, subject matter experts, and product teams. Comment on, annotate, and label logs for Q&A and fine-tuning.
- Prompt Playground & Deployment: Tinker with multiple prompts on samples, test them on large datasets, and deploy the good ones into production.
- Observability: Log production and staging data. Debug issues, run online evals, and capture user feedback. Track cost, latency, and quality in one place.
- Datasets: Incorporate logs from staging & production into test datasets and use them to fine-tune models.
Use Cases of parea.ai
Parea AI is used by teams to confidently ship LLM apps to production. It provides tools for experiment tracking, observability, human annotation, and prompt deployment, making it easier to debug, evaluate, and improve AI systems.
Features of parea.ai
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Evaluation
Test and track performance over time. Debug failures and answer questions about model performance.
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Human Review
Collect human feedback from end users, subject matter experts, and product teams for fine-tuning and debugging.
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Prompt Playground & Deployment
Experiment with multiple prompts, test them on large datasets, and deploy the best ones into production.
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Observability
Log production and staging data, debug issues, run online evaluations, and capture user feedback.
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Datasets
Incorporate logs from staging and production into test datasets for fine-tuning models.