Merge pull request #2133 from MicrosoftDocs/main

12/30/2024 AM Publish

Author: PhilKang0704

articles/ai-studio/concepts/evaluation-approach-gen-ai.md

@@ -9,7 +9,7 @@ ms.custom:
   - build-2024
   - ignite-2024
 ms.topic: conceptual
-ms.date: 5/21/2024
+ms.date: 12/23/2024
 ms.reviewer: mithigpe
 ms.author: lagayhar
 author: lgayhardt

articles/ai-studio/how-to/develop/evaluate-sdk.md

@@ -444,20 +444,18 @@ Sometimes a large language model isn't needed for certain evaluation metrics. Th
 class AnswerLengthEvaluator:
     def __init__(self):
         pass
-
+    # A class is made a callable my implementing the special method __call__
     def __call__(self, *, answer: str, **kwargs):
         return {"answer_length": len(answer)}
 ```
 
 Then run the evaluator on a row of data by importing a callable class:
 
 ```python
-with open("answer_len/answer_length.py") as fin:
-    print(fin.read())
-
 from answer_len.answer_length import AnswerLengthEvaluator
 
-answer_length = AnswerLengthEvaluator()(answer="What is the speed of light?")
+answer_length_evaluator = AnswerLengthEvaluator()
+answer_length = answer_length_evaluator(answer="What is the speed of light?")
 
 print(answer_length)
 ```