https://www.siliconcodesign.com/p/an-advanced-system-architecture-breakdown
https://x.com/jasonschips/status/2095084434185924625 - Hot chips 2026
https://x.com/QQ_Timmy/status/2095128760542790121 - Google training and inference
https://www.siliconcodesign.com/p/an-advanced-system-architecture-breakdown
https://x.com/jasonschips/status/2095084434185924625 - Hot chips 2026
https://x.com/QQ_Timmy/status/2095128760542790121 - Google training and inference
Stay tuned for English version book --- https://x.com/leafmeta/status/2083768641145938336
A graph contains not only what to do but also what is known. Furthermore, the latter is a much older concept—the lineage leading from knowledge graphs to ontology and the semantic web. Therefore, this book divides graph engineering into two tracks.
Knowledge Graph Engineering Track 1: What the Model Knows; Ontology, Schema, Source; Time, Quality, Verification.
Agent Graph Engineering Track 2: What the Model Does; State, Reducer, Superstep; Tools, Authority, Termination Conditions. Both are built with nodes and edges.