Why intermediate representations matter far more in vision and 3D inference than LLMs
prateekj · x · 2026-11-10
The author points to an interesting divergence between LLM inference and vision/video/3D inference: intermediate representations matter enormously for the latter.
Vision models produce masks and depth maps; video models produce tracks and temporal relationships; 3D models produce geometry and camera poses. These are structured representations that downstream models need to consume in the pipeline — unlike text models, whose intermediate states lack such reusable structure. The distinction shapes how multi-model cascaded pipelines get designed.
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