Unverified50% confidenceFactExact time
主流文本嵌入模型通常基于对比学习训练，将语义相似的文本对映射到向量空间邻近位置，将不相关的文本对推远
1
Sources
50%
Confidence
Long-term
Relevance
9/3/2026
First Seen
Sources
Related Entities
Related Claims
Unverified模型的格式方言源于指令微调阶段训练数据的格式差异，被模型深度内化形成强烈格式偏好，难以通过运行时提示词完全覆盖72% similarUnverifiedLarge language models learn statistical patterns and expression patterns through unsupervised learning on massive text corpora71% similarUnverifiedGPT-Image-2's improvement in text rendering likely benefits from specialized supervised learning on text regions during training and the large language model's deep understanding of textual symbol systems.71% similarUnverified多模态模型的文本识别并非通过独立OCR子模块实现，而是作为视觉-语言对齐训练的产物内嵌在模型权重中，图片文字与普通文本共享同一套语义处理管线71% similarUnverifiedLLM通过在海量文本语料上训练学会人类语言中词语共现的统计规律、语法结构和修辞模式，但生成过程不涉及对内容的理解或意图70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/848727API
curl https://kongchang.com/api/v1/knowledge/claims/848727MCP
get_claim(id=848727)