This site is in beta. Tell us what you think.

Search Results | digitalfluency.guide

What does Grounding (in AI) mean?

Grounding (in AI). Grounding (in AI). The practice of ensuring that generative AI tools return results that are accurate ('grounded' in facts) rather than just those which are statistically probable or pleasing to a user.

What does Retrieval Augmented Generation (RAG) in Generative AI mean?

A strategy for 'grounding' AI tools in accurate facts by combining generative and retrieval models.

AI Courses

AI boundaries, ethical considerations, grounding and steering strategies. An initial set of AI use cases for the company. An AI pipeline and learning plan. Build-buy-partner strategy comparisons for AI model development and tool selection.

What is steerable AI, why does it matter and, how do you build it? | Digital Fluency Guide

With generative AI, '. grounding. ' approaches are helping to make sure factual answers are given to human questions of AI systems. This is one of a multi-part series on Questions to Answer in AI Strategy.