Specialized small models likely to replace general-purpose LLMs

The shift toward single-digit billion parameter models for tasks like OCR and segmentation suggests a transition from monolithic LLMs to specialized, local models. This evolution favors efficiency and easier training over the massive datacenter requirements of current frontier models.