Phi models offer cost-effective, high-performance AI solutions at the edge, pushing the boundaries of generative AI. These small language models are designed for production environments with safety-focused development and multilingual support for over 20 languages. The models range from Phi-1 to the latest Phi-4-multimodal version, all available under the MIT License.

• Flexible local deployment
• Ultra-low latency
• Multimodal capabilities
• Cost-efficient for resource-constrained tasks
• Customizable with domain-specific fine-tuning
• Supports over 20 languages
• Open source (MIT License)

• AI Developers
• AI Researchers
• Organizations needing lightweight AI models
• Startups with limited resources

• Edge AI applications
• Resource-constrained environments
• Local AI deployment
• Cost-sensitive AI projects
• Rapid prototyping

https://docs.microsoft.com/en-us/azure/ai-services/

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• Implementation typically takes 1-2 weeks for basic setup and 2-4 weeks for custom fine-tuning depending on use case complexity.

• https://openai.com/gpt-3
• https://huggingface.co/models
• https://ollama.ai

• Free access through Azure AI Foundry Models, Hugging Face, and Ollama
• Pay-as-you-go Model as a Service (MaaS) option available