Unverified50% confidenceFactExact time
Prefill is the first stage of large language model inference, in which the model reads the entire prompt entered by the user in one pass and computes key-value vectors for each token and stores them in VRAM.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe context of a large language model is essentially the total amount of information the model can process in a single inference, typically measured in the number of tokens.75% similarVerified大语言模型推理分预填充和解码两阶段：预填充是计算密集型对GPU算力敏感，解码是内存带宽受限任务74% similarUnverifiedThe inference process of large language models is divided into two phases, Prefill and Decode, and the computational complexity of the attention mechanism is O(n²).73% similarUnverified上下文工程指系统性地设计、筛选和组织输入给大语言模型的信息，使模型在有限的上下文窗口内获得最高质量的参考材料71% similarUnverifiedOpenWhispr's dictation mode uses a large language model to intelligently polish transcribed content, for example automatically organizing it into a bulleted list and removing verbal filler expressions.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1081837API
curl https://kongchang.com/api/v1/knowledge/claims/1081837MCP
get_claim(id=1081837)