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Prior vs likelihoods in Bayesian PR review agent?

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Building a agent with bayesian update instead of LLM heuristic. Two quick question Priores: How do you set priors when historical data is sparse? Loss: False negative (auto-merging bad code) cost way more than false psoitive(flagging safe PRs). What should be the threshold to optimize loss rather t…

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  1. 2026-09-04 19:51 · r/learnmachinelearning
    Prior vs likelihoods in Bayesian PR review agent?

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