The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

A comprehensive survey published May 23 in Intelligent Computing, a Science Partner Journal maps out the role of large ...

Is AI reasoning an oxymoron? OpenAI recently raised $40 billion with a post- money valuation of $300 billion. CEO Sam Altman ...

A new study published in Current Molecular Pharmacology explores the transformative role of large language models (LLMs) in drug development. The research highlights how LLMs enhance efficiency and ...

Graph neural networks will be a major trend in 2021, Josifovski predicted. At its core, the deep learning paradigm is a different way of structuring data, like images, and sequencing data, like text.