Unverified50% confidenceFactExact time
Masked self-attention ensures that when generating the t-th token the model can only see positions 1 through t-1, while during training the entire sequence is trained in parallel via a mask matrix
1
Sources
50%
Confidence
Long-term
Relevance
9/21/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedDuring training, an upper triangular mask matrix is used to ensure each token can only see the content before it, which is consistent with the autoregressive nature of language generation75% similarUnverified该系统在提示词中明确要求模型只能使用提供的上下文作答，答案不在上下文中时直接回答不知道，而非凭训练记忆编造70% similarVerifiedThe self-attention mechanism allows the model to simultaneously reference the contextual information of all other tokens in a sequence when processing each token, rather than processing sequentially as RNNs do69% similarUnverifiedCovering both T2I and image editing within a single model framework typically means the model was trained on large amounts of 'original image–instruction–edited result' triplet data and possesses strong multimodal comprehension capabilities.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/939623API
curl https://kongchang.com/api/v1/knowledge/claims/939623MCP
get_claim(id=939623)