Which of the following improves a large language model’s (LLM’s) performance for malicious reconnaissance?
Retrieval-augmented generation (RAG) retrieves relevant external information and supplies it as context to a foundational LLM, producing more relevant, accurate, and up-to-date responses for a specialized task. Microsoft Learn describes RAG as a way to add helpful information before an LLM answers and improve responses with specific data.
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