Microsoft Corp. today released the code for Phi-4, a small language model that can generate text and solve math problems.

Microsoft enhances the capabilities of small language models (SLMs) with rStar-Math. The technique boosts the capabilities of ...

Niall Firth, executive editor of the MIT Technology Review, explains that so-called small language models are focused on ...

Phi-4 and an rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems.

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...

LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs), announced that its first commercial product ...

Model microbes such as Escherichia coli hog scientists’ attention, leaving most known bacteria with few publications devoted ...

Large language models (LLMs) have been the foundation of generative AI’s initial successNow the GenAI sector is starting to ...

A team of math and AI researchers at Microsoft Asia has designed and developed a small language model (SLM) that can be used to solve math problems. The group has posted a paper on the arXiv preprint ...

Training large language models (LLMs) has become out of reach for most organizations. With costs running into millions and ...

Last year saw several launches of lightweight models such as Microsoft’s Phi family of SLMs, Google’s Gemma and a smaller ...