So everyone’s chasing bigger models, but do we really need a 100B+ param beast for every task? We’ve been playing around with something different—SmolModels. Small, task-specific AI models that just do one thing really well. No bloat, no crazy compute bills, and you can self-host them. We’ve been using blend of synthetic data + model generation, and honestly? They hold up shockingly well against AutoML & even some fine-tuned LLMs, esp for structured data. Just open-sourced it here: SmolModels GitHub. Curious to hear thoughts. submitted by /u/Pale-Show-2469 [link] [comments]
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