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

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

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 ...

Phi-4 demonstrates that smaller, well-designed models can achieve comparable or superior results compared with larger models.

Microsoft Corp. has developed a small language model that can solve certain math problems better than algorithms several times its size. The company revealed the model, Phi-4, on Thursday.

Here’s how it works. Microsoft has released a set of benchmarks showing Phi-4 outperforming even large language models like Gemini Pro 1.5 on math competition problems. Small language models ...

Phi-4, which has outperformed larger competitors in reasoning tasks, is now freely available under an MIT License.

The company’s newest SML, Phi-4, is proving to be particularly adept at complex reasoning, such as mathematics. Phi-4 is particularly impressive because it isn’t just managing to outperform ...

Microsoft has announced Phi-4 — a new AI model with 14 billion parameters — designed for complex reasoning tasks, including mathematics. Phi-4 excels in areas such as STEM question-answering ...

Called Phi-4, the model improves in several areas over its predecessors, Microsoft claims, particularly in solving math problems. That's partly the result of better training data quality.

Today, Microsoft introduced Phi-4, a 14B parameter state-of-the-art small language model (SLM) that even beats OpenAI's GPT-4 large language model in MATH and GPQA AI benchmarks. Microsoft claims ...