Evaluate LLM response quality for a QnA bot that can answer any questions related to developer documents
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UpTrain provides a diverse set of pre-built metrics like response relevance, context quality, factual accuracy, language quality, etc. to evaluate your LLM applications upon.
UpTrain enables experimentation with multiple prompts, model providers, and custom configurations, offering quantitative scores for direct comparison and optimal prompt selection.
UpTrain continuously monitors your application's performance on multiple evaluation criterions and alerts you in case of any issues with automatic root cause analysis.
Use UpTrain to define validation checks, configure retry logics, and protect your users and downstream tasks against undesirable LLM responses.
With UpTrain's wide array of pre-built metrics, you can run LLM evaluations in less than two minutes.