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LLMs1 min read
This tutorial demonstrates building a basic AI text detector from scratch, utilizing a DistilBERT classifier and RLVR. The project aims to illustrate AI detector functionality and serve as a case study for building scoring systems alongside a user-friendly UI.
From Ahead of AI (Sebastian Raschka)
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
Archive (34)How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
