Summary
This 'Show HN' proposes a new model architecture, arguing that the current 'spray-n-pray' approach with large transformer models, while effective for creative tasks, fails for developer work requiring highly deterministic outputs like OCR or audio recognition. The authors suggest transformers are insufficient for these specific, critical tasks and have been training specialized SLMs to address this gap.
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