I wrote a chat app built around mistrust for LLM responses. You can see an example here: https://beta.gitsense.com/?chat=ed907b02-4f03-477f-a5e4-ce9a03f33ce5 h

I wrote a chat app built around mistrust for LLM responses. You can see an example here: https://beta.gitsense.com/?chat=ed907b02-4f03-477f-a5e4-ce9a03f33ce5 https://beta.gitsense.com/?chat=ed907b02-4f03-477f-a5e4-ce9a... If you click on the Evaluation links, you can see how you can use multiple LLMs to validate LLM response. The evaluation of the accurate response is interesting since Llama 3.3 was the most critical. https://beta.gitsense.com/?chat=fdfb053d-f0e2-4346-bdfc-73057b0ac5fe https://beta.gitsense.com/?chat=fdfb053d-f0e2-4346-bdfc-7305... At this point, you would ask Llama to explain why the response was not 100% which you can use to cross reference other LLMs or to do your own research.