Unverified50% confidenceOpinionExact time
The combination of frozen features plus a lightweight reasoning head preserves the generalization ability of the pretrained model and avoids the cost of large-scale fine-tuning.
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10/19/2026
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UnverifiedA frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.79% similarUnverified若训练集能充分覆盖推理时可能出现的工具类型和参数组合，小模型同样能学到可靠的格式生成能力，而不必依赖大模型的深层语义推理78% similarUnverifiedA base model is the original version that has completed pre-training on large-scale data but has not been fine-tuned for a specific task, retaining the most complete parameter space and generalization potential.76% similarUnverifiedA model maintaining factual accuracy on obscure topics reflects its knowledge density and training quality more than writing a sorting algorithm.76% similar
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