Microsoft has unveiled Phi-4, a cutting-edge small language model (SLM) designed for high-quality reasoning in both language and math. With only 14 billion parameters, Phi-4 is the latest addition to Microsoft's Phi family, delivering outstanding performance in areas such as complex math tasks.

Phi-4 excels at mathematical reasoning, outperforming much larger models like Gemini Pro 1.5 on math competition problems. This is made possible through innovations such as high-quality synthetic datasets, curation of organic data, and advancements in post-training techniques. In benchmark tests, Phi-4 consistently achieves superior results in solving challenging math problems, a key feature that sets it apart from other language models.

The model's architecture allows it to push the boundaries of size versus quality. Despite being smaller in size than many other leading models, Phi-4’s performance is exceptional. This breakthrough offers potential advantages for organizations and developers, providing an AI solution that is both efficient and effective.

Available through Microsoft’s Azure AI Foundry, Phi-4 is already helping businesses and developers tackle complex reasoning tasks with ease. It is also set to be available on Hugging Face next week, making it even more accessible to the broader AI community.

Microsoft emphasizes responsible AI development in its rollout of Phi-4. The company has made significant strides in integrating robust, responsible AI capabilities into the Phi models, ensuring that safety and quality are prioritized in the AI development lifecycle. Azure AI Foundry offers powerful tools for organizations to measure, mitigate, and manage AI risks. These tools support the development of safe AI applications, allowing developers to track quality and intervene when necessary.

For added safety, Phi users can leverage Azure AI Content Safety features. These include prompt shields, protected material detection, and groundedness detection, which help prevent misuse of the model and ensure its integrity in real-world applications.

As Microsoft continues to innovate, Phi-4 stands as a testament to the future of small language models. By combining high performance in math reasoning with advanced AI safety features, Phi-4 sets a new standard in AI development. With its emphasis on both efficiency and safety, Phi-4 is poised to play a key role in the evolution of AI technologies across industries. Explore Phi-4 today on Azure AI Foundry and see how this breakthrough model can help push the boundaries of what’s possible with small language models.