A comparison test found that old-school classifiers and regression models still generally outperform decision models like Jev in most real use cases where labeled data is available for personalization. The test embedded inputs with an open-source or cheap embedding model before fitting the classifier, an approach the author positions against current hype around decision models. The source does not report specific benchmark figures or name the embedding model used.
There’s a lot of hype right now around decision models like Jev. But in most real use cases, you have some labeled data, and can use it to personalize your model. So we tested the old-school approach to classification and regression: Embed your inputs with an open-source or cheap embedding model Fit
EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.