Phi-4: Microsoft's Advanced Small Language Model
date
Dec 18, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1734493104275-202412131706179601.jpg
slug
phi-4-microsoft-s-advanced-small-language-model-1734493212950
tags
AI
Language Model
Machine Learning
Microsoft
Technology
summary
Phi-4 is Microsoft's newest small language model, designed to excel in complex reasoning tasks. With 14 billion parameters, it utilizes high-quality datasets to enhance its performance, particularly in mathematics. Its availability on Azure AI Foundry and soon on Hugging Face makes it accessible for developers and researchers.
Product Introduction
Phi-4 is the latest addition to Microsoft's Phi series of small language models, specifically engineered to tackle complex reasoning tasks, such as those found in mathematics. It boasts 14 billion parameters, striking a balance between size and quality by leveraging high-quality synthetic datasets and curated organic data. Phi-4 represents a significant leap in the capabilities of small language models, pushing the boundaries of AI technology. It is currently available on Azure AI Foundry and will soon be launched on the Hugging Face platform.
Key Features
- 14 Billion Parameters: Offers robust performance while maintaining a compact size.
- Complex Reasoning: Excels in tasks requiring advanced mathematical reasoning, outperforming larger models like Gemini Pro 1.5 in mathematics competition problems.
- High-Quality Datasets: Uses a combination of high-quality synthetic datasets and carefully curated organic data to enhance model training.
- Post-Training Innovations: Implements cutting-edge techniques in post-training to improve model efficiency and output quality.
- Availability: Accessible on Azure AI Foundry and soon on Hugging Face, making it easier for developers and researchers to utilize.
- Designed for Developers: Tailored for AI developers, data scientists, and machine learning researchers, providing high-quality outputs in resource-limited environments.
Product Data
- Model Type: Small Language Model (SLM)
- Target Users: AI developers, data scientists, machine learning researchers.
- Licensing: Available under the Microsoft Research License Agreement (MSRLA).
- Integration: Can be integrated into various applications such as educational tools, financial analysis, and AI-powered problem-solving software.