The majority of hallucination checks begin following the initial writing of an answer by the LLM. We then hold someone up to a second standard of judgment, or we hand over dangerous cases to a person. That works but that is looking at the solution only as one-off. What if the LLM generates five different […] The post JEV as a Hallucination Filter: Let the LLM Write, Let JEV Check appeared first on Analytics Vidhya.
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How OpenSmartRoute helps
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.
Any OpenAI-compatible provider works, as do open-weight models served locally. The catalogue at https://opensmartroute.ai lists models with their prices and live rankings, and the savings ledger shows what the routing saved against always using the most expensive option.