Despite all the hype this has been getting on X, I actually think people might not understand how big of a deal it is. They refer to it as a system one model, but I think a better name is a general classifier.
Jev replace specialized machine learning models out of the box in many ways. May of the inefficiencies in current agent workflows like model selection or memory management can be improved. This is going to supercharge the speed and efficiency of agentic workflows and completely shift how AI and data analytics interact.
I pulled it into my agent this morning and had an improved proof of concept data validation workflow for a project I had been working on for years within 10 minutes. All the testing I did this morning over the course of a few hours cost me < 3 cents. Checking a 22k record database for errors (without needing to explicitly define failure criteria) might cost $1.50.
Jev replace specialized machine learning models out of the box in many ways. May of the inefficiencies in current agent workflows like model selection or memory management can be improved. This is going to supercharge the speed and efficiency of agentic workflows and completely shift how AI and data analytics interact.
I pulled it into my agent this morning and had an improved proof of concept data validation workflow for a project I had been working on for years within 10 minutes. All the testing I did this morning over the course of a few hours cost me < 3 cents. Checking a 22k record database for errors (without needing to explicitly define failure criteria) might cost $1.50.
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