Phi-4
P
Phi 4
Overview :
Phi-4 is the newest member of Microsoft's Phi series of small language models, featuring 14 billion parameters and excelling in fields requiring complex reasoning, such as mathematics. Phi-4 achieves a balance between size and quality by leveraging high-quality synthetic datasets, carefully curated organic data, and innovations in post-training. It represents a technological advancement in small language models (SLMs) by Microsoft, pushing the boundaries of AI capabilities. Phi-4 is available on Azure AI Foundry and will launch on the Hugging Face platform in the coming weeks.
Target Users :
Phi-4 is designed for AI developers, data scientists, and machine learning researchers. It suits their needs by offering a compact yet powerful language model capable of performing complex reasoning tasks in resource-limited environments while maintaining high-quality output.
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Use Cases
Phi-4 can be used to develop AI applications capable of solving mathematical problems.
Phi-4 can be integrated into educational software to assist students in tackling complex math problems.
Phi-4 can be utilized in finance for risk assessment and predictive analysis.
Features
Phi-4 surpasses larger models, including Gemini Pro 1.5, in mathematics competition problems.
By using high-quality synthetic datasets and organic data along with post-training innovations, Phi-4 excels in mathematical reasoning compared to its peers and larger models.
Phi-4 pushes the boundaries of model size and quality, offering a compact yet efficient AI solution.
Phi-4 is available on Azure AI Foundry, accessible through the Microsoft Research License Agreement (MSRLA).
Phi-4 will be available on the Hugging Face platform for easier access by developers and researchers.
Phi-4 integrates Azure AI Content Safety features, such as prompt filtering, protected material detection, and baseline detection.
Phi-4 supports real-time monitoring of application quality and safety, including defenses against adversarial prompt attacks and data integrity issues, allowing for timely interventions.
How to Use
1. Visit Azure AI Foundry and register or log in to access the Phi-4 model.
2. Read and agree to the Microsoft Research License Agreement (MSRLA) to use Phi-4.
3. Download the Phi-4 model and integrate it into your application or research project as needed.
4. Utilize the Azure AI Content Safety feature to enhance the model's safety and content filtering capabilities.
5. Use the tools provided by Azure AI Foundry to evaluate the model's quality and safety.
6. Adjust model parameters as necessary to optimize performance.
7. Deploy the model to the production environment and utilize real-time monitoring features to ensure application quality.
8. Regularly check for and apply updates to Phi-4 to keep the model up to date.
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