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Apr 06, 2026bookmark
Building Confidence: A Case Study in How to Create Confidence Scores for GenAI Applications
gen airesponse scoring
Getting a response from GenAI is quick and straightforward. But what about the confidence level for that response? In certain applications, especially in the financial domain, confidence scores are required. In a document-parsing task related to financial automation, we tested three approaches to address confidence level: calibrator models, logarithmic probabilities (logprobs), and majority voting. Majority voting turned out to be the most performant technique. Although the idea is relatively simple, the devil is in the details.
Apr 06, 2026bookmark
Our Multi-Agent Architecture for Smarter Advertising
agentadvertisingarchitecture
When we kicked this off, we weren’t trying to ship an “AI feature.” We were trying to fix a structural problem in how our ads business actually runs in software.