Verified75% confidenceFactExact time
Modern large language models generate code in an auto-regressive manner, predicting the next token each time by referencing only the existing context.
3
Sources
75%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
Vibe Coding进阶指南：从玩具项目到企业级AI工程化开发
bilibili图灵架构师诸葛7/12/2026
Related Claims
UnverifiedLarge language models generate text in an autoregressive manner, where the production of each token depends on the context formed by all preceding tokens, following the chain rule of probability.78% similarVerifiedThe inference process of large language models is autoregressive, and the number of output Tokens is almost linearly correlated with response latency.78% similarVerifiedSpeculative Decoding uses a small, fast draft model to predict multiple tokens in advance, which are then verified in parallel all at once by the large model.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/607125API
curl https://kongchang.com/api/v1/knowledge/claims/607125MCP
get_claim(id=607125)