Definition
Phi-3 is a series of small language models (SLMs) released by Microsoft, designed to deliver high performance comparable to larger models while requiring significantly less computational resources. These models are trained on high-quality, filtered synthetic data and real text, focusing on reasoning, mathematics, and coding capabilities. Phi-3 supports various context lengths and is optimized for deployment on edge devices, making it suitable for on-device AI applications without relying on heavy cloud infrastructure.
Summary
A family of open-weight large language models developed by Microsoft Research.
Key Concepts
- Small Language Models
- Microsoft Research
- Edge AI
- Synthetic Data Training
Use Cases
- Running LLMs on mobile devices or laptops
- Cost-effective inference for enterprise applications
- Real-time processing with low latency requirements