Small language models are like specialised tools in a toolbox, compared to something like ChatGPT that brings the whole workshop.

Small language models are maturing rapidly and can be a great place to begin your AI journey while staying cost-effective, ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

Advanced AI gave way to Large Language Models, such as Megatron-Turing NLG, capable of executing a huge number of tasks. However, large-scale LLMs come with huge challenges that include high energy ...

Opinions expressed by Digital Journal contributors are their own. Generative AI has rapidly become a cornerstone of modern technology, revolutionizing how people interact with data and digital content ...

Small language models shine for domain-specific or specialized use cases, while making it easier for enterprises to balance performance, cost, and security concerns. Since ChatGPT arrived in late 2022 ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...

Large language models (LLMs) use vast amounts of data and computing power to create answers to queries that look and sometimes even feel “human”. LLMs can also generate music, images or video, write ...