In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the earliest dimensions of the vector carry the most useful semantic signal. We ...
Abstract: The medical knowledge graph (KG) is gaining traction in the healthcare and academic sectors because of its potential for smart healthcare applications.A knowledge graph is a semantic network ...
Catch up on select AI news and developments from the past week or so: Anthropic debuts Claude Opus 4.6 with multi-agent teams and expanded knowledge work focus. Anthropic launched Claude Opus 4.6 as a ...
Abstract: When performing knowledge graph completion, inductive reasoning research places greater emphasis on unobserved entities. However, in real world, the construction of knowledge graphs often ...