As the initial hype for artificial intelligence dies down, the question of which trends are going to stick around is on everyone’s minds.
Causal AI and small language models are the answer, according to Scott Hebner (pictured), principal analyst of AI at theCUBE Research. Ultimately, he believes these trends will coalesce into a cohesive machine learning architecture.
“We’re very much in the infancy of AI,” he said. “There’s some trends that are starting to develop. Now they are going to converge over time into more of an architectural approach, and I think that is the notion of causal AI, the actual ability to reason, problem-solve, understand cause and effect. I think the long tail of the small language model is going to become more and more dominant … it becomes increasingly important if you want to optimize your model for your unique business, your unique clients, your region.”
Scott Hebner (pictured), principal analyst of AI at theCUBE Research spoke with theCUBE Research’s John …