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EVALUATION

Evaluate LLM Pipeline Production Readiness

Take objective decisions on production readiness of your LLM based pipeline by evaluation them with 25+ metrics on performance, guardrails and costs.

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Select from 25+ Trusted Metrics

Celsius serves your state-of-the-art metrics including LLM based metrics for transparency on the performance, cost and safety of your LLM application pipeline.

Exact Match

F1 Score

Answer Correctness

Answer Similarity

Answer Relevance

Cost

Hallucination

Toxicity

and more...

Create Your Own Custom Metric

With Celsius' Metric Wizard, create your own Boolean or scale-based metric to inspect unique aspects of your LLM pipeline.

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Aligned to your Objectives

Celsius allows you to perform rigorous evaluation on a predefined pipeline as well as a model selection mode generating several versions of your pipeline automatically with different foundation models

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Inference Evaluation

Deep insights on performance, cost and guardrail metrics on your predefined pipeline.

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Model Selection

Compare several foundation models on your production like dataset and metrics to find the best pipeline version.

Streamlined Workflow for Efficiency and Reporting

Designed for a seamless, integrated and collaborative workflow experience across various functions

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Zero Platform Fee

Only pay for evaluation API usage at the same rates as the best evaluator models such as GPT4.

Evaluate with few lines of code

Access Celsius evaluation services via Celsius Client

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One Platform for all Production Needs

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    Evaluation

    Detailed insights into the production readiness with 20+ performance metrics.

  • Monitoring icon

    Monitoring

    Continuously track your AI models' health, identify issues proactively, and ensure optimal performance.

  • Security icon

    Security

    Real-time flagging and filtering of prompt injections, jailbreak attempts for a secured user experience.

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    Compliance

    Navigate the evolving regulatory landscape with confidence through comprehensive compliance support.