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, ...

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 ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Small Language Models (SLM) are trained on focused datasets, making them very efficient at tasks like analyzing customer feedback, generating product descriptions, or handling specialized industry ...

Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections ...

The all-conquering rise of AI in the enterprise has seen much use of large language models (LLMs). This week at InfoWorld, we wrote about LiteLLM: an open-source gateway for unified LLM access that ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

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 ...

Software developers have been the first to adopt the tool, and can “create a Jira ticket for a WordPress site, build it in a ...