Unverified50% confidenceFactExact time
Medical fine-tuning refers to continuing training or instruction fine-tuning on top of a general pre-trained model using specialized corpora such as medical literature, clinical guidelines, and case dialogues, so that the model masters domain terminology and reasoning norms.
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10/27/2026
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UnverifiedFoundation models refer to models pretrained on large-scale general-purpose corpora that can be adapted to a variety of downstream tasks through fine-tuning or prompting, and are usually categorized by modality into text, image, audio and other types.77% similarUnverified微调是指在已具备通用语言理解能力的基础模型之上，用特定领域的专业数据进行二次训练，使模型在保留通用能力的同时对特定任务表现出更高的专业精度73% similarVerifiedFine-tuning refers to performing secondary training on a foundation model that has completed general-text pre-training, using domain-specific labeled data to adjust the model's parameters71% similar
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