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

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

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, known as SLMs, create intriguing possibilities for business leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniature versions of the ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...

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 ...

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 ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...

Small language models, known as SLMs, create intriguing possibilities for higher education leaders looking to take advantage of artificial intelligence and machine learning. SLMs are miniaturized ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When ChatGPT, Gemini and its other generative AI cohorts burst onto the scene a little over two ...

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 ...