Autoregressive Generation and Restatement: How Clear Writing Reduces Misunderstanding
Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…
-
-
Lost in the Middle: Position Effects and Their Limits in Long Contexts
"Lost in the Middle" is a phenomenon identified by multiple studies: large language models utilize information at the beginning and end of long contex…
-
Attention Mechanisms: What They Explain—and What They Do Not
Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…
-
Why Conclusion-First Writing Helps: Information Design, Not a Position Weight
Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selec…
-
What Is Embedding: How AI Turns Words into Coordinates
Embedding is the process of converting tokens into high-dimensional numerical vectors. Each token is mapped to coordinates in a space with hundreds to…
Have a GEO Question?
Can’t find what you need? Reach out — we’re happy to help.
English ▾
Chinese (Simplified)