Expired50% confidenceFactExact time
Pre-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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
bilibiliAI-大模型应用开发6/5/2026
Related Claims
Partially VerifiedA 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.84% similarUnverifiedSelf-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.78% similarUnverifiedThe Ziyue large model made extensive use of educational corpora such as textbooks, exercises, and problem-solving processes during the pre-training and fine-tuning stages, giving it stronger professionalism on educational tasks.73% similar
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