It definitely helps but not completely

@@nrrgrdn thank you for the information

Thank you for your question! While Apple's new AI certainly sounds promising, it's important to note that all large language models (LLMs) have the potential for hallucinations. The key is understanding how often hallucinations occur and how severe they are. The true measure of its performance, including hallucination rates and other accuracy metrics, can only be determined through thorough testing and evaluation in real-world scenarios. Until we see how it performs in practice, it’s difficult to provide a precise assessment. At Wisecube, we're focused on helping AI systems improve reliability by using tools like Pythia, which provide deep insights into hallucination detection and accuracy monitoring.

Quite much

Yes, even advanced AI models can still hallucinate, generating plausible but incorrect information. At Wisecube, we developed Pythia to address this problem.

is this research published in a paper somewhere?