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Used for

    Machine Learning Model EvaluationDataset EnrichmentRegression Testing AutomationError Isolation and AnalysisMetric Customization

Features

    Automated Regression TestingDiverse EvaluationsCustom Metric DefinitionRoot Cause AnalysisEnriched DatasetsOpen-Source CoreSingle-Line IntegrationHigh-Quality EvalsCost EfficiencyData Governance ComplianceFull-stack LLMops platform covering evaluation, experimentation, and improvement.Enterprise-grade tools for fast iteration and competitive edge.20+ predefined metrics for comprehensive evaluation.Customizable metrics within UpTrain’s extendable framework.Automated regression testing and prompt versioning for easy rollback.Root cause analysis to isolate errors and improve quickly.Capability to enrich datasets with diverse test sets and edge cases.Single-line integration for rapid deployment.Innovative scoring techniques with >90% agreement with humans.Open-source core evaluation framework.

What is UpTrain?

UpTrain is a full-stack LLMops platform designed to streamline the production of AI models from evaluation to improvement.

Who can benefit from using UpTrain?

Data scientists, machine learning engineers, AI developers, software architects, and product managers can benefit from UpTrain.

What features does UpTrain offer?

UpTrain offers features like full-stack LLMops, enterprise-grade tools, 20+ metrics, custom metric definitions, regression testing, dataset enrichment, and more.

How does UpTrain enhance datasets?

UpTrain enriches datasets by capturing diverse edge cases encountered in production, providing a robust test set for different use cases.

How is UpTrain cost-effective?

UpTrain provides high-quality and reliable scoring at a fraction of the cost, using innovative techniques with >90% agreement with humans.

What is LLMops?

LLMops refers to the operations involved in managing and optimizing large language models in production environments.

Can UpTrain be integrated quickly?

Yes, UpTrain can be integrated in less than 5 minutes with a single API call.

Is UpTrain open-source?

Yes, the core evaluation framework of UpTrain is open-source.

What makes UpTrain reliable?

UpTrain can handle varied data volumes without failures and provides high agreement scores with human evaluations.

Does UpTrain support custom metrics?

Yes, UpTrain allows users to define custom metrics within its extendable framework.

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