Unverified50% confidenceFactExact time
A 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.
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Long-term
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9/23/2026
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UnverifiedUsing large-scale pre-trained models (such as Whisper and HuBERT) as a foundation for fine-tuning on specific tasks allows small datasets to be reframed as few-shot fine-tuning scenarios.77% similarVerifiedFine-tuning involves taking an existing large model and further training it with a specially prepared proprietary dataset, thereby changing the model's weight values77% 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75% similar
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