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The Best of Both Worlds in a Conversational Agent
Could you provide an example even if it's a hypothetical one of a kind of a setup for a conversational agent that utilizes the best of both worlds. Could you give us an example of where you think a large language model would fare better and then also where like a more traditional NLP model would perform better in that kind of context? We're trying to understand how the best ofboth worlds kind of plays out in your understanding so suddenly we can do this actually in parallel with a large languagemodel as well, he says.