If you are interested in learning how to build knowledge graphs using artificial intelligence and specifically large language models (LLM). Johannes Jolkkonen has created a fantastic tutorial that ...

Why have language models become so impressive? Many people say that it's the size of the models. The large in 'large language models' has been thought to be key to the models' success: as the number ...

When venturing into the world of language models, it’s tempting to think that the bigger the model, the better it will perform. This notion is rooted in the belief that more data and more parameters ...

Large language models and small language models will play different roles in ensuring that we deliver valuable generative AI applications at cost-effective levels. Generative AI applications revolve ...

Small, regular, medium or large - sir/madam? When it comes to coffee, pitchers of beer, cheeseburgers and items of clothing, going large usually means you’re getting more value for money, a better ...

The future of generative AI could rely on smaller language models for every application an enterprise uses, models that would be both more nimble and customizable — and more secure. As organizations ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

I research the intersection of artificial intelligence, natural language processing and human reasoning as the director of the Advancing Human and Machine Reasoning lab at the University of South ...

If you're looking to build AI agents into your workflows, don't waste the valuable compute power of large language models on these systems. That's the opinion of a group of Nvidia researchers, who ...