Microsoft's latest small language model focuses on complex reasoning
Phi-4 is the latest member of Microsoft's Phi series of small language models. It has 14B parameters and is good at complex reasoning fields such as mathematics. Phi-4 strikes a balance between size and quality by using high-quality synthetic datasets, curated organic data, and post-training innovations. Phi-4 embodies Microsoft's technological progress in the field of small language models (SLM) and pushes the boundaries of AI technology. Phi-4 is currently available on Azure AI Foundry and will be available on the Hugging Face platform in the coming weeks.
Phi-4 is targeted at AI developers, data scientists, and machine learning researchers. It is suitable for them because it provides a small but powerful language model capable of performing complex inference tasks in resource-constrained environments while maintaining high-quality output.
Phi-4 can be used to develop AI applications that can solve mathematical problems.
Phi-4 can be integrated into educational software to help students solve complex math problems.
Phi-4 can be used in the financial field for risk assessment and predictive analysis.
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