Businesses face various risks when integrating AI, including data drift, which can lead to outdated models. Large language models, while innovative, may produce "hallucinations," generating plausible but inaccurate information. To mitigate these risks, it's crucial to continuously train models and fact-check outputs to ensure reliability.
