Highlight

Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning

A method called SPIRES is available as part of the open source OntoGPT package.

Based on

Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning

By J. Harry Caufield, Harshad Hegde, Vincent Emonet
Read original article →

SPIRES is a method that uses zero-shot learning to populate knowledge bases. It is part of the OntoGPT package, an open-source tool. The method's purpose and functionality are not further described in the provided snippet.

Abstract

SPIRES is a method that uses zero-shot learning to populate knowledge bases. It is part of the OntoGPT package, an open-source tool. The method's purpose and functionality are not further described in the provided snippet.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

spireszero-shot learningknowledge basesontogptKnowledge GraphsStructured ContentAI AgentsLarge Language Models
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.