Phi-4: Microsoft's Advanced Small Language Model for Complex Reasoning
date
Dec 15, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1734265042063-202412131706179601.jpg
slug
phi-4-microsoft-s-advanced-small-language-model-for-complex-reasoning-1734265159563
tags
AI Language Model
Complex Reasoning
Microsoft AI
Machine Learning
Mathematical AI
summary
Phi-4 is Microsoft's latest small language model, offering 14 billion parameters and excelling in complex reasoning tasks such as mathematics. Designed to balance size and performance, it leverages high-quality synthetic datasets and innovations in post-training for improved mathematical capabilities. Phi-4 is available on Azure AI Foundry and will soon be accessible on the Hugging Face platform.
Product Introduction
Phi-4 is the latest model in Microsoft's Phi series, designed to tackle complex reasoning tasks, particularly in fields such as mathematics. With 14 billion parameters, it balances model size and quality, offering advanced performance for AI developers, data scientists, and machine learning researchers. Phi-4 is expected to push the boundaries of small language models by offering powerful capabilities in resource-limited environments. It is available on Azure AI Foundry and will launch on the Hugging Face platform soon.
Key Features
- 14 Billion Parameters: Phi-4 incorporates 14 billion parameters, providing a powerful yet compact language model for complex reasoning tasks.
- Mathematical Reasoning: Excels in solving mathematical problems, outperforming larger models like Gemini Pro 1.5 in competition problems.
- High-Quality Training Data: Combines synthetic datasets and organic data with post-training innovations to achieve high accuracy in complex tasks.
- Azure AI Foundry Availability: Available on Microsoft's Azure AI Foundry, accessible through the Microsoft Research License Agreement (MSRLA).
- Hugging Face Launch: Soon to be available on the Hugging Face platform, enhancing accessibility for developers and researchers.
- Compact Yet Powerful: Designed for resource-limited environments, it provides a balance of performance and size for optimal results.
- Versatile Application: Suitable for a range of industries, including education, finance, and AI application development.
Product Data
- Model Size: 14 billion parameters
- Key Focus: Complex reasoning, mathematics, AI development
- Availability: Azure AI Foundry, Hugging Face
- License: Microsoft Research License Agreement (MSRLA)