Classify the text into the categories of satisfied, neutral or unsatisfied.
\
Text: I was happy with the customer support today.
Output:\
Satisfied
The model processes the input and generates the right output because of its training on similar classification tasks across millions of examples.
When to use each approach:
- Zero-shot prompting: Perfect for general tasks like classification, translation, and answering questions with established knowledge
- Few-shot prompting: Better when you need nuanced results, complex reasoning, or specific output formats