Unverified50% confidenceFactExact time
The Pre-fill technique is to pre-fill content (such as a left curly brace) at the starting position of the model's answer, forcing the model to continue from that opening, thereby avoiding superfluous preamble output.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
The 12 Core Principles of AI Agents Explained Clearly: From Messages to Multi-Agent Systems
bilibiliAgent零基础入门10/20/2026
Related Entities
Related Claims
UnverifiedThe Prefill stage is the first step of large language model inference, in which the model performs a complete forward computation in parallel over all input tokens to generate the KV Cache for every layer.72% similarUnverifiedWhen running large models locally, pre-fill (pre-filling/reading the prompt) is a parallel computation task—the more compute units, the faster it runs.72% similarUnverifiedPrefill is the parallel processing of the input sequence and is a compute-bound task.68% similarUnverifiedThe pre_gateway_dispatch hook fires after source verification is complete and before the message enters large model inference.64% similarUnverifiedBefore adding orchestration dependencies, start with functions, explicit control flow, and schema-bound model outputs.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1076050API
curl https://kongchang.com/api/v1/knowledge/claims/1076050MCP
get_claim(id=1076050)