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Creating LLM-Friendly Definitions for TigerGraph CoPilot

Blog post from TigerGraph

Post Details
Company
Date Published
Author
Dan McCreary
Word Count
2,470
Company Posts That Month
4
Language
English
Hacker News Points
-
Post removed?
No
Summary

In this article, the author discusses the importance of optimizing data element definitions to work with Language Learning Models (LLMs) in knowledge graphs. The ISO/IEC 11179 Metadata Registry (MDR) guidelines are used as a basis for creating precise, concise, distinct, noncircular, and unencumbered definitions that can be easily understood by LLMs. These definitions should focus on the semantics or meaning of data elements while also considering their representation in terms of data types. The article provides examples of vertex attributes and enumerated values with clear definitions following ISO 11179 standards.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 7 3,398 379 136 +44%
AI Coding Assistant 3 281 70 31 -19%
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