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Jun 5, 2026, 5:00 am111 pts
InfoWorld
I’ve seen a lot of promising AI prototypes fall apart after launch. And it’s rarely because the model was bad. More often, the problem starts much earlier; teams treat the data layer like something they can figure out later. They’ll spend weeks fine-tuning prompts, testing models and debating evaluation…
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