Unverified50% confidenceFactExact time
对比学习是 Sentence-BERT、OpenAI text-embedding 系列等主流 embedding 模型的核心训练范式
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
余弦相似度-1代表语义相反？机器学习面试高频陷阱解析
Related Claims
UnverifiedResearch from OpenAI, Anthropic, and other institutions indirectly confirms that alignment training significantly compresses a model's performance space in creative writing, complex reasoning, and open-ended dialogue.72% 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.70% similarUnverifiedContrastive learning is the dominant paradigm for training text embedding models, and the InfoNCE loss function is the most commonly used training objective.70% similarUnverifiedTraining data in the instruction tuning phase contains a large volume of creative writing, business email templates, and role-playing dialogue samples, enabling the model to master various textual formats69% similarUnverifiedChain-of-Thought、Few-shot Learning、ReAct等提示范式推动了提示词工程的规范化67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/507865API
curl https://kongchang.com/api/v1/knowledge/claims/507865MCP
get_claim(id=507865)