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Evaluation
30 videos · showing 25–30
This video breaks down TypeSafe's non-generative Jev decision model, analyzing how parallel evaluation replaces autoregressive generation for software loops. It critically examines vendor-reported speed and cost claims against practical cheap-model routing, highlighting operational trade-offs and vendor eval caveats.
Duration: 7 minutes 31 seconds.The creator backtests TypeSafe's Jev model across 300 market decisions, assessing typed outputs for trade plans, win rates, and self-contradictions.
Duration: 14 minutes 51 seconds.Sean Brownell walks through a Jev scorecard for checking generated customer-service conversations, combining policy questions with scores for response quality.
Duration: 6 minutes 40 seconds.AICodeKing evaluates TypeSafe's Jev model across support routing, prompt injection handling, exact-value selection, agent trace auditing, and browser automation integration.
Duration: 8 minutes 21 seconds.This video examines TypeSafe AI's Jev architecture for structured decision-making. Through console walkthroughs and recorded synthetic tests, it breaks down parallel question sampling, latency versus Gemini Flash-Lite, probability distributions, and the critical difference between type safety and decision correctness.
Duration: 10 minutes 27 seconds.Vini Lana tests offloading agent tool selection to TypeSafe's Jev model across multiple LLMs, analyzing prompt execution steps, tool accuracy, token costs, and contextual failure modes.
Duration: 22 minutes 22 seconds.
