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Update docs/index.mdx
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Co-authored-by: Tanushree <[email protected]>
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isahers1 and tanushree-sharma authored Jan 29, 2025
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Expand Up @@ -52,7 +52,7 @@ The quality and development speed of AI applications depends on high-quality eva
- Get started by [creating your first evaluation](./evaluation).
- Quickly assess the performance of your application using our [off-the-shelf evaluators (Python only)](https://docs.smith.langchain.com/evaluation/how_to_guides/use_langchain_off_the_shelf_evaluators) as a starting point.
- [Analyze results](./evaluation/how_to_guides#analyzing-experiment-results) of evaluations in the LangSmith UI and [compare results](https://docs.smith.langchain.com/evaluation/how_to_guides/compare_experiment_results) over time
- Get [human feedback](./evaluation/how_to_guides#annotation-queues-and-human-feedback) on your data
- Easily collect [human feedback](./evaluation/how_to_guides#annotation-queues-and-human-feedback) on your data to improve your application.

## Prompt Engineering

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