A developer has created a decision model that directly edits LLM weights without training, building on MIT research on direct weight editing. The approach distills knowledge from an energy-based decision engine into Qwen 3.5 0.8B to teach new skills like tool calling. This method, developed over two months following the launch of the Laya decision model, enables skill acquisition through weight manipulation rather than conventional training.
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