“Both of the foundation model layers, you need the data with the knowledge graph, LLM also need the data,” he said. “Now this will be domain-specific data. Your data should belong to you.

Knowledge graphs represent a collection of interlinked facts about a domain. Essentially, entities and relations are extracted from the unstructured data and stored in the form of a triple ...

Harvard Medical School has unveiled MedAI, a new knowledge graph-based agent set to transform the landscape of medical question-answering. This innovative tool addresses the critical shortcomings ...

Domain-specific LLMs, on the other hand, possess specialized knowledge of terminology specific to particular use cases to ensure accurate comprehension of industry-specific concepts. The Power Of ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner ...

The post I linked to about a User-Specific Knowledge Graph provides some examples of what might be seen in a personalized knowledge repository. This patent provides a couple of examples, but not ...