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Evaluation Quick Start | 🦜️🛠️ LangSmith

https://docs.smith.langchain.com/evaluation

“Evaluations are a quantitative way to measure performance of LLM applications, which is important because LLMs don't always behave predictably — small changes in prompts, models, or inputs can significantly impact results. Evaluations provide a structured way to identify failures, compare changes across different...” (the page’s own description)

Topic: Technology
Quality: Quality 84 scored 12 Aug 2025
Language: english
Text on page: 5,547 characters
Page size: 157 kB
Answered: OK (200), HTML
Last read: 7 Jul 2025
In our index since: 7 Jul 2025
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Links to it: Linked from 1 site

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https://docs.smith.langchain.com/prompt_engineering/how_to_guides/use_tools “Evaluation”
https://docs.smith.langchain.com/concepts/evaluation “Evaluation”
https://docs.smith.langchain.com/observability/how_to_guides/dashboards “Evaluation”
https://docs.smith.langchain.com/self_hosting/installation/kubernetes “Evaluation”
https://docs.smith.langchain.com/observability/how_to_guides/trace_with_opentelemetry “Evaluation”
https://docs.smith.langchain.com/evaluation “API Reference”
https://docs.smith.langchain.com/observability “Evaluation”
https://docs.smith.langchain.com/reference/cloud_architecture_and_scalability “Evaluation”
https://docs.smith.langchain.com/prompt_engineering/tutorials/prompt_commit “Evaluation”
https://docs.smith.langchain.com/evaluation/how_to_guides/analyze_single_experiment “Evaluation”

Sites: docs.smith.langchain.com, langchain.com, www.langchain.com

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