AI BriefingShould You Post-train Your Own Model
Key point
As the performance of general-purpose models improves at an accelerating pace, this presents criteria for judging when to adopt model post-training.
Details
Currently, regardless of whether they are open source or closed models, the performance of Frontier Models is advancing very rapidly. Therefore, in many cases, using an existing general-purpose model is the most efficient starting point.
However, the situation can be different if you are at the Prototype stage of understanding a specific workflow or building from 0 to 1. Rather than training unconditionally, you should carefully decide on the necessity of Post-training by comparing current model performance against business requirements.
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