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What is Phi-3?

We are excited to unveil an extraordinary lineup of compact language models (SLMs) that combine outstanding performance with affordability and low latency. These innovative models are engineered to elevate AI capabilities, minimize resource use, and foster economical generative AI solutions across multiple platforms. By enhancing response times in real-time interactions and seamlessly navigating autonomous systems, they cater to applications requiring low latency, which is vital for an optimal user experience. The Phi-3 model can be effectively implemented in cloud settings, on edge devices, or directly on hardware, providing unmatched flexibility for both deployment and operational needs. It has been crafted in accordance with Microsoft's AI principles—which encompass accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—ensuring that ethical AI practices are upheld. Additionally, these models shine in offline scenarios where data privacy is paramount or where internet connectivity may be limited. With an increased context window, Phi-3 produces outputs that are not only more coherent and accurate but also highly contextually relevant, making it an excellent option for a wide array of applications. Moreover, by enabling edge deployment, users benefit from quicker responses while receiving timely and effective interactions tailored to their needs. This unique combination of features positions the Phi-3 family as a leader in the realm of compact language models.

What is Gemma?

Gemma encompasses a series of innovative, lightweight open models inspired by the foundational research and technology that drive the Gemini models. Developed by Google DeepMind in collaboration with various teams at Google, the term "gemma" derives from Latin, meaning "precious stone." Alongside the release of our model weights, we are also providing resources designed to foster developer creativity, promote collaboration, and uphold ethical standards in the use of Gemma models. Sharing essential technical and infrastructural components with Gemini, our leading AI model available today, the 2B and 7B versions of Gemma demonstrate exceptional performance in their weight classes relative to other open models. Notably, these models are capable of running seamlessly on a developer's laptop or desktop, showcasing their adaptability. Moreover, Gemma has proven to not only surpass much larger models on key performance benchmarks but also adhere to our rigorous standards for producing safe and responsible outputs, thereby serving as an invaluable tool for developers seeking to leverage advanced AI capabilities. As such, Gemma represents a significant advancement in accessible AI technology.

Media

Media

Integrations Supported

Cake AI
NativeMind
WebLLM
Azure OpenAI Service
Database Mart
Molmo
Runpod

Integrations Supported

Cake AI
NativeMind
WebLLM
Atomic Chat
Axolotl
C
Gemini Robotics
Google AI Studio
Java
Julia
Kerlig
Kotlin
PaliGemma 2
Rust
TURBOARD
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/phi-3

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/gemma

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Small Language Models

Not specified

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