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Retrieval & EmbeddingsMedium· Trust· Reliability· Unsupervised Learning
You have 1,000 candidate sources and no labeled trainin...
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See plansA weak answer proposes a manually curated allowlist, which does not scale and fails to adapt when a source’s quality changes over time. A strong answer proposes estimating reliability from cross-source agreement on a calibration set of fact-checkable queries. This approach requires no manual labeling and provides a dynamic, scalable way to assess source trustworthiness.