When you talk to chief executives at companies that currently rely on AI day in and day out, you hear a different story. For the overwhelming majority of tasks, it’s not the biggest and smartest AI models, but the most simplistic that are winning the day. These unsung heroes of AI, the ones actually transforming business processes and workforces, also happen to be the smallest, fastest and cheapest.
“The reality is, for many of the operations that we need computing for today, we don’t need large language models,” says Kyle Lo, a research scientist who builds open-source large language models at the nonprofit Allen Institute for AI.
AI-powered companies have found success by building their software and services more like an assembly line of AI: Information goes in one end, and data, actions or products come out the other. In between, many smaller, simpler, more specialized, faster and cheaper-to-operate AIs are doing all the work.
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