Tiny Recursive Models Visually Explained - Understanding the Dataset and how it's processed - Difference between traditional transformers and TRM - what actually goes on behind during training and inference - Other interesting stuff the paper implements -/aiengineering.academy/AIBreakDown/TRM/ | Md Ismail Sojal
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Samsung’s Tiny Recursive Model (TRM) is a reminder that architecture and compute strategy can matter as much as parameter count. What’s new • 7M params, trained on ~1k examples, uses a draft → latent scratchpad → self-critique → revise loop (up to 16 cycles). • Reports 45% on ARC-AGI-1 and 8% on ARC-AGI-2, exceeding many much larger LLMs. • Code paper are public: · Blog → https://alexiajm.github.io/2025/09/29/tiny_recursive_models.html · Paper → https://arxiv.org/abs/2510.04871 · Code → https://
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