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 ...

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 ...

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...

In a major advancement for AI model evaluation, the Institute of Artificial Intelligence of China Telecom (TeleAI) has ...

Large language models (LLMs) used for generative AI tools can consume vast amounts of processor cycles and be costly to use. Smaller, more industry- or business-focused models can often provide better ...

SK Telecom will unveil a hyperscale artificial intelligence model at a presentation for the government-led national AI ...

Overview: Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size.Modern SLMs support reasoning, instruct ...