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Rhythm Garg on X: "Should you post-train your own model? " / X

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https://t.co/vWjJJZFj6s

@rhythmrg: Should you post-train your own model? General frontier models, both open and closed, are improving quickly. In many cases, they are the right starting point. If you are building a 0-to-1 prototype, trying to understand a workflow, or getting water running through the pipes, you should use the strongest general model available and move fast. But for the handful of power-law use cases that are critical to your company’s mission, product, and margin, the answer is increasingly yes: you should post-train your own model. Your most important use cases are usually where your differentiat

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