Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, featuring 14 billion parameters. It utilizes high-quality synthetic datasets and organic data, making it suitable for applications in various fields, especially mathematics. Available on Azure AI Foundry and soon on Hugging Face, Phi-4 sets a new standard in AI capabilities for developers and researchers.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, featuring 14 billion parameters and leveraging innovative data strategies to excel in fields such as mathematics.

Phi-4 is Microsoft's latest small language model, designed to excel in complex reasoning tasks, particularly in mathematics. With 14 billion parameters and a focus on high-quality data, it sets a new standard in the capabilities of AI models. Available on Azure AI Foundry and soon on Hugging Face, Phi-4 is tailored for AI developers and researchers looking for efficient AI solutions.

Phi-4 is Microsoft's latest small language model designed for complex reasoning tasks, particularly excelling in mathematical problem-solving. With 14 billion parameters, it utilizes high-quality datasets and innovative training techniques, making it a significant advancement in AI capabilities.

**Summary** 1. Shanghai AI Lab has recreated OpenAI’s Olympiad tool, LLaMA-O1, open-sourcing it for the world. 2. The project harnesses Monte Carlo Tree Search, reinforcement learning, and AlphaGo Zero architecture. 3. LLaMA-O1 excelled in tackling mathematical Olympiad problems, outperforming most closed-source models. 4. The project uses Google’s Gemma2 as a base for training. 5. The mysterious GitHub account SimpleBerry is behind the LLaMA-O1 code, while another project, O1-Journey, from Shanghai Jiao Tong University, is also progressing fast.