Phi-4 Reasoning Models
a year ago
- #AI
- #Microsoft
- #Machine Learning
- Microsoft introduces Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, marking a new era for small language models (SLMs).
- Reasoning models leverage inference-time scaling for complex tasks, excelling in mathematical reasoning and agentic applications.
- Phi-4-mini-reasoning is optimized for mathematical reasoning, ideal for educational applications and lightweight deployment on edge or mobile systems.
- Phi-4-reasoning is a 14-billion parameter model that rivals larger models, trained with high-quality synthetic datasets.
- Phi-4-reasoning-plus enhances Phi-4-reasoning with reinforcement learning, delivering higher accuracy.
- Both Phi-4-reasoning models outperform larger models like OpenAI o1-mini and DeepSeek-R1-Distill-Llama-70B in benchmarks.
- Phi models are integral to Copilot+ PCs, optimized for NPUs, and used in applications like Outlook for offline Copilot summaries.
- Microsoft emphasizes responsible AI, with Phi models developed under principles of accountability, transparency, fairness, and safety.