Key Points
- Microsoft introduces two new models in the Phi family: Phi-4-multimodal and Phi-4-mini, designed for small language models (SLMs) with advanced AI capabilities.
- Phi-4-multimodal is a 5.6B parameter model that integrates speech, vision, and text processing into a single, unified architecture, enabling more natural and context-aware interactions.
- Phi-4-mini is a 3.8B parameter model that is a dense, decoder-only transformer, designed for speed and efficiency, outperforming larger models in text-based tasks.
Microsoft Empowers Innovation with Phi-4
Microsoft has made a significant breakthrough in the field of artificial intelligence with the introduction of two new models, Phi-4-multimodal and Phi-4-mini, in the Phi family of small language models (SLMs). These models are designed to empower developers with advanced AI capabilities, enabling them to create innovative and context-aware applications.
Phi-4-Multimodal: The Power of Multimodal Language Processing
Phi-4-multimodal is a 5.6B parameter model that seamlessly integrates speech, vision, and text processing into a single, unified architecture. This allows for more natural and context-aware interactions, enabling devices to understand and reason across multiple input modalities simultaneously. This model has achieved remarkable performance in various tasks, including automatic speech recognition, speech translation, and vision-based tasks.
Phi-4-Mini: Power and Efficiency in a Small Package
Phi-4-mini is a 3.8B parameter model that is a dense, decoder-only transformer designed for speed and efficiency. Despite its smaller size, it outperforms larger models in text-based tasks, including reasoning, math, coding, instruction-following, and function-calling.
Customization and Cross-Platform Availability
Both models are designed to be used in compute-constrained environments, making them ideal for edge computing and on-device processing. Their smaller sizes make them easier to fine-tune and customize, and they can be used with ONNX Runtime for cross-platform availability.
Use Cases and Industries
These models have a wide range of use cases and can be applied in various industries, including:
- Smart home control systems
- Automotive assistants
- Financial services
- Healthcare
- Education
Security and Safety
Both models underwent security and safety testing by Microsoft’s internal and external security experts, using strategies crafted by the Microsoft AI Red Team (AIRT). This ensures the delivery of high-quality capabilities that are secure and safe.
Get Started with Phi-4
Microsoft invites developers to explore the possibilities with Phi-4-multimodal and Phi-4-mini in Azure AI Foundry, Hugging Face, and NVIDIA API Catalog. The company is looking forward to hearing feedback and seeing the incredible things that will be accomplished with these new models.
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