A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Recent research has found a new way to make graphene that adds structural defects to improve the performance of the material that could have benefits across a range of applications—from sensors and ...
Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...
Jake brings two decades of experience with him, having covered major industry events, breaking news, one-on-one interviews, and more. When he's not playing World of Warcraft, he's usually on the hunt ...
Jake brings two decades of experience with him, having covered major industry events, breaking news, one-on-one interviews, and more. When he's not playing World of Warcraft, he's usually on the hunt ...
1 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China 2 School of Information Engineering, East University of Heilongjiang, Harbin, China Recognizing ...
No-code Graph RAG employs autonomous agents to integrate enterprise data and domain knowledge with LLMs for context-rich, explainable conversations Graphwise, a leading Graph AI provider, announced ...
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