Call us now:
What’s a mistake? Is it a mistake to return an incorrect answer, biased, or illogical output, through poisoning or hallucination? In many cases, how does a user know that the output is wrong? Unless they expected the output.
It’s all OK if you want to use AI to create a presentation, or pull data together into a spreadsheet where you can reconcile the data. But what if you need AI to do complex analytics? Such as using AI in cybersecurity audits, which is becoming increasingly regulated.
How do you solve the AI reasoning challenge? How do you ground AI output in reality and not digital fantasy?
@Thaddeus Dziekanowski Brian D. McCarthy
@Parava Security Solutions
#articialintelligence #aihalucinations
https://lnkd.in/exwUAEGt
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