However, despite their eloquence, LLMs have some key limitations. Their knowledge is restricted to patterns discerned from the training data, which means they lack true understanding of the world.Their reasoning ability is also limited — they cannot perform logical inferences or synthesize facts from multiple sources. As we ask more complex, open-ended questions, the responses start becoming nonsensical or contradictory.To address these gaps, there has been growing interest in retrieval-augmented generation (RAG) systems. The key idea is to retrieve relevant knowledge from external sources to provide context for the LLM to make more informed responses.

This metric will not populate for profiles that are synced from an integration (with the exception of Mailchimp and some third-party form integrations), added through your API, or uploaded to a list via a CSV file or copy/paste. As a result, there will likely be more profiles in your list than those associated with this specific metric.