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OP you only took this half way. We already know LLMs can say smart sounding things while also being wrong and irrelevant. You need to manually validate how many
by disambiguation 2y ago
OP you only took this half way. We already know LLMs can say smart sounding things while also being wrong and irrelevant. You need to manually validate how many N / 100 LLM outputs are both correct and significant - and how much did it miss! Otherwise you might fall into a trap of dealing with too much noise for only a little bit of signal. The next step from there is comparing it with human level signal to noise ratio.