Next story is researchers from UC Berkeley and DeepMind propose success VQA. Every formulation of success detection that uses flamingo. So the idea here is for something like reinforcement learning, where it's more of a trial and error type of technique. But if you're trying to scale up to more weights, you would need a larger super computer.

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