GBU_28,

It’s use in hybrid search CRAG and discussion systems as a human in the loop augmentation is quite valuable. It saves analyst time and streamlines further review. In a sufficiently adversarial system where multiple models are vetting the responses for sanity with back checks, it’s quite performant, having decent recall and accuracy.

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