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The industry is obsessed with the promise of autonomous software agents executing workflows at the flick of a switch. But out in the real world, massive proprietary models are often complete overkill for everyday enterprise tasks—driving up costs while locking you into a single provider's roadmap. Moving from a flashy desktop demonstration to an accountable enterprise asset requires a critical shift from "how big is your model?" to "how flexible is your platform?" Red Hat’s Andrew Brown shares insights on building a hybrid foundation that lets you run the right model, on the right hardware, in the right location. Dive into the operational reality of enterprise AI: https://red.ht/4wYFEuI

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