TLDR Tech / AI
Should you post-train your own model?
General frontier models are the right starting point for 0-to-1 prototypes and understanding workflows, but for the handful of power-law use cases critical to a company's mission, product, and margin, the answer is increasingly to post-train your own model. Those use cases are where the differentiated data lives and where hard constraints on cost, latency, and reliability make a general model's single fixed tradeoff a liability.
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