Can you provide more context to your statement? Are you talking about models in general? Or specific recent models? I'm assuming "one-shot approach" is how you classify the parent comment's question (and subsequent refined versions of it).
Can you provide more context to your statement? Are you talking about models in general? Or specific recent models? I'm assuming "one-shot approach" is how you classify the parent comment's question (and subsequent refined versions of it).
Large models in general. A semantic query for "fake articles", without examples, is a wildcard search.
A commercial RAG solution would use Query Expansion (QE) and examples to find nearest neighbors.