Unverified50% confidenceFactExact time
Additive modeling is the approach of summing several small models to obtain a large model.
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50%
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Long-term
Relevance
10/8/2026
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UnverifiedSmaller models are forced to produce highly explicit, step-by-step operational instructions, which happen to be exactly the type of input that large models are good at executing.77% similarUnverified初次使用应先选择体积小的模型版本把流程跑通，再酌情尝试更大的模型76% similarUnverifiedModel merging operates directly in parameter space, combining the weights of multiple models in some manner; it requires no training data or gradient backpropagation, and can produce a new model through purely algebraic operations on the weights.73% similarVerifiedFine-tuning involves taking an existing large model and further training it with a specially prepared proprietary dataset, thereby changing the model's weight values73% similarUnverifiedLetting a model see the outputs of other models is essentially injecting additional information into the input, which is a different matter from whether models can develop emergent capabilities through interaction.72% similar
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