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 ...

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 ...

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 ...

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 ...

Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...

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 ...

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 ...

RETRO uses an external memory to look up passages of text on the fly, avoiding some of the costs of training a vast neural network In the two years since OpenAI released its language model GPT-3, most ...

While much of the tech press is driving hype around large language models like ChatGPT, the academic press is making a more measured bet on small language models and graph connected data. Academic ...