What is the difference between random and curated few-shot examples?

Random examples come from your training data without selection logic. Curated examples are chosen to be representative, diverse, and high-quality. Curated examples almost always outperform random ones, especially for nuanced tasks. Some advanced systems use embeddings to dynamically select the most semantically similar examples for each query, called dynamic few-shot.