Verified75% confidenceFactExact time
A pre-trained model refers to a model that has been trained in advance on large-scale datasets, which users can directly fine-tune or call to complete specific tasks.
5
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75%
Confidence
Long-term
Relevance
8/1/2026
First Seen
Sources
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VerifiedSelf-supervised learning is the core paradigm of the pre-training phase, where the model constructs training signals from the data itself through a next-token prediction task.87% similarUnverifiedPre-train & Fine-tune is the core training paradigm for current large models; after pre-training completes general knowledge learning, the fine-tuning phase requires only a small amount of data and computational resources to adapt to different tasks.84% similarUnverifiedThe pretraining and fine-tuning paradigm originated from NLP and computer vision, with its core being large-scale data pretraining to learn general low-level features, and downstream tasks adapted using a small amount of labeled data.80% similarUnverified预训练阶段模型通过自监督学习方式（通常是下一个 token 预测任务）在海量文本语料（通常达数万亿 token 规模）上进行训练77% similar
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