Verified90% confidenceFactExact time
GLM unifies the pre-training objectives of natural language understanding and generation through Autoregressive Blank Infilling.
6
Sources
90%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
VerifiedThe GLM series is a large language model jointly developed by Tsinghua University and Zhipu AI, built on the Autoregressive Blank Infilling training objective.85% similarVerifiedGLM uses an autoregressive blank-filling training objective, randomly masking text segments and requiring the model to autoregressively restore them.72% 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% similarUnverified主流LLM的预训练采用下一个token预测作为目标，优化的是语言建模损失而非事实准确性69% similarVerified大语言模型的预训练阶段本质上属于自监督学习，是一种特殊的非监督学习，模型通过预测下一个词来从海量文本中自动学习语言规律68% similar
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