Unverified50% confidenceFactExact time
GLM adopys an autoregressive blank infilling pretraining method and demonstrates outstanding performance in bilingual Chinese-English understanding and generation.
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50%
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Long-term
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9/6/2026
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UnverifiedThe GLM series of models has a unique advantage in bilingual Chinese-English capabilities.78% similarUnverifiedDomestic models such as GLM have increased the proportion of high-quality Chinese corpus during the training phase and optimized the tokenizer design for Chinese characters.74% similarUnverifiedLLMs acquire language capabilities by performing unsupervised pre-training on massive text corpora (predicting the next token).69% similarUnverified主流扩散模型的文字生成依赖CLIP等视觉-语言预训练模型，其训练数据以英文为主，导致中文字符生成困难68% similarUnverifiedThe training data of current mainstream large models contains a relatively high proportion of English corpus, which may cause the model to favor English prosodic patterns in syllable boundary processing and pause rhythm, producing a foreign accent66% similar
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