Grounding GenAI

We continue to be awed by the potential of gen AI. It can synthesize information, make coding recommendations to developers, assist analysts with market research, jumpstart docs and slides, and help marketers with creative campaigns. And that’s just getting started.

But the arrival of gen AI hasn’t been without it challenges – with leaders across industries needing to simultaneously integrate the new technology while racing to get ahead of competitors. The pace is relentless.

Foundation models trained on general training data are suited for a multitude of purposes, like content generation, summarization, and simple natural language-based classification. And while they develop a vast “world knowledge” during training, many businesses find that the current generation of foundation models alone can’t be relied upon for the trusted, accurate responses today’s enterprise use cased demand.

To adopt gen AI with confidence and unlock its full potential, business needs to ground foundation model responses in enterprise systems and fresh data. This can help ensure that models output the accurate and complete responses that companies rely on for ROI and investment opportunities.