AI Decision Making — Optimizing Routes
AI decision-making can now be easily trained using the optimization methods available in semantic router.
Route score thresholds define whether a route should be chosen. If the score we identify for any given route is higher than the Route.score_threshold, it passes; otherwise, it does not, and either another route is chosen or we return no route.
Given that this one score_threshold parameter can define the choice of a route, it's important to get it right — but it's incredibly inefficient to do so manually. Instead, we can use the fit and evaluate methods of our RouteLayer. All we must do is pass a smaller number of (utterance, target route) examples to our methods, and with the fit, we will often see dramatically improved performance within seconds — we will see how to measure that performance gain with evaluation.
⭐ GitHub Repo:
https://github.com/aurelio-labs/seman...
📌 Code:
https://github.com/aurelio-labs/seman...
🔥 Semantic Router Course:
https://www.aurelio.ai/course/semanti...
👋🏼 AI Consulting:
https://aurelio.ai
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