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Fix a couple of typos in docs/getstarted/evals.md #2081

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Fix a couple of typos in docs/getstarted/evals.md #2081

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8 changes: 4 additions & 4 deletions docs/getstarted/evals.md
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Expand Up @@ -62,7 +62,7 @@ choose_evaluator_llm.md
**Evaluation**


Here we will use [AspectCritic](../concepts/metrics/available_metrics/aspect_critic.md), which an LLM based metric that outputs pass/fail given the evaluation criteria.
Here we will use [AspectCritic](../concepts/metrics/available_metrics/aspect_critic.md), which is an LLM based metric that outputs pass/fail given the evaluation criteria.


```python
Expand Down Expand Up @@ -148,8 +148,8 @@ Output
{'summary_accuracy': 0.84}
```

This score shows that out of all the samples in our test data, only 84% of summaries passes the given evaluation criteria. Now, **It
s important to see why is this the case**.
This score shows that out of all the samples in our test data, only 84% of summaries passes the given evaluation criteria. Now, **It's
important to see why is this the case**.

Export the sample level scores to pandas dataframe

Expand Down Expand Up @@ -187,4 +187,4 @@ If you want help with improving and scaling up your AI application using evals.

## Up Next

- [Evaluate a simple RAG application](rag_eval.md)
- [Evaluate a simple RAG application](rag_eval.md)