Google inks partnerships to ground its AI models in facts
Google is expanding an effort to allow its cloud customers to ground their enterprise AI chatbots in real-world facts, including a new partnership with Moody's to use its financial data.
Why it matters: Generative AI will make up information, but grounding these systems in known factual data can significantly lessen hallucinations.

Driving the news:
In April, Google announced an effort to ground Vertex AI results in web search as well as a plan to allow companies to ground AI systems in their own internal data.
What they're saying: "You can actually trust the model to do a task on your behalf because you have a basis for trusting it," Google Cloud CEO Thomas Kurian told Axios.
The big picture:
The moves come as major genAI providers seek to prove that their systems are safe and reliable enough for business use.

Zoom in: Google is also offering more ways to make its systems more reliable and predictable. One is a new "confidence score," in which the AI model offers a numeric indicator of how sure it is of the answer.