In enterprise AI, the agent harness you choose matters more than the model
One thing we’ve apparently learned about Large Language Models (LLMs) over the last two years is that, operationally, they’re dumb as an ox.
Big, impressive, and powerful — but ultimately of little use in supporting productive work unless they are harnessed to tools and pointed at a specific problem.
This was an analogy that came to mind while visiting Denver’s American Museum of Western Art, an (excellent) institution dedicated to showcasing artwork that records life on an entirely different frontier — as captured in familiar images of settlers, wagons and the opening up of the American West. A frontier on which oxen often provided the raw power needed to travel, plow, or build.
But like a standalone LLM, a standalone ox was not, by itself, productive. Its value to those settlers instead came from being harnessed to useful work.
Because the harness provided both a means of guidance and a...
Copyright of this story solely belongs to diginomica.com. To see the full text click HERE
