Accuracy and fact-check analysis is built right into our platform. The Charli AI Ancaeus platform incorporates a suite of “challenger” models that are trained to verify the accuracy of any information produced by the AI generated outcomes. Fact check analysis is needed to mitigate risks on hallucinations and to address limitations in LLMs and other AI models.
Fact check analysis performs cross checks using extracted methods as well as relevancy checks to ensure that hallucinations can be identified, flagged and redlined and reports on inaccuracies on factual statements and numbers. Why does this matter? Factual and relevant outputs are crucial to highly-regulated industries as well as the future of regulations in and of AI.