py/cookbooks/labeled_few_shot/json.ipynb score is way lower than a naive llm with no optimization. Also the examples are clearly messed up in last cell:

Analyzing sample texts:
Text: I absolutely adore this new smartphone!
Sentiment: Positive
Reasoning: The text expresses a strong positive emotion towards the subject, indicating enthusiasm and satisfaction about the statement made.

Text: The customer service was terrible and unhelpful.
Sentiment: Positive
Reasoning: The text expresses a high level of satisfaction and enthusiasm, indicating a very positive sentiment towards the subject.

Text: The movie was okay, nothing special.
Sentiment: Positive
Reasoning: The text expresses a strong positive emotion toward something, indicating a high level of satisfaction and appreciation. The word 'great' reflects a positive sentiment.