Found 339 bookmarks
Custom sorting
Comparing ChatGPT responses using statistical similarity v knowledge representations in the automated text selection process
Comparing ChatGPT responses using statistical similarity v knowledge representations in the automated text selection process
I’ve been comparing ChatGPT responses using statistical similarity v knowledge representations in the automated text selection process. There are token…
comparing ChatGPT responses using statistical similarity v knowledge representations in the automated text selection process
#AI#LLM#KnowledgeGraph
·linkedin.com·
Comparing ChatGPT responses using statistical similarity v knowledge representations in the automated text selection process
Explore OntoGPT for Schema-based Knowledge Extraction
Explore OntoGPT for Schema-based Knowledge Extraction
The OntoGPT framework and SPIRES tool provide a principled approach to extract knowledge from unstructured text for integration into Knowledge Graphs (KGs), using Large Language Models such as GPT. This methodology enables handling complex relationships, ensures logical consistency, and aligns with predefined ontologies for better KG integration.
The OntoGPT framework and SPIRES tool provide a principled approach to extract knowledge from unstructured text for integration into Knowledge Graphs (KGs), using Large Language Models such as GPT. This methodology enables handling complex relationships, ensures logical consistency, and aligns with predefined ontologies for better KG integration
#KnowledgeGraph#LLM#AI
·apex974.com·
Explore OntoGPT for Schema-based Knowledge Extraction
Explaining rules with LLMs
Explaining rules with LLMs
At the Knowledge Graph Conference last week, a number of data managers and researchers from IKEA presented their work on a recommendation…
#KnowledgeGraph#AI#LLM
·medium.com·
Explaining rules with LLMs