Relying on one LLM is a gamble. We mix models to leverage strengths and catch...

https://www.4shared.com/office/xu3DocF3jq/pdf-82387-64764.html

Relying on one LLM is a gamble. We mix models to leverage strengths and catch errors via disagreement. But beware—synthesis can hide dissent or leak data across providers. Don't blindly ensemble; know where models fail before wiring them into your stack.