Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

We are excited to announce the launch of Phi-2, a language model featuring 2.7 billion parameters that excels in reasoning and language comprehension, achieving top-tier results compared to other base models with fewer than 13 billion parameters. In challenging benchmarks, Phi-2 competes with and often surpasses models that are up to 25 times its size, a feat made possible by advancements in model scaling and meticulous curation of training data. Due to its efficient design, Phi-2 serves as an excellent resource for researchers interested in areas such as mechanistic interpretability, enhancing safety measures, or conducting fine-tuning experiments across a broad spectrum of tasks. To promote further exploration and innovation in language modeling, Phi-2 has been integrated into the Azure AI Studio model catalog, encouraging collaboration and development within the research community. Researchers can leverage this model to unlock new insights and push the boundaries of language technology.

Description

Introducing a remarkable family of compact language models (SLMs) that deliver exceptional performance while being cost-effective and low in latency. These models are designed to enhance AI functionalities, decrease resource consumption, and promote budget-friendly generative AI applications across various platforms. They improve response times in real-time interactions, navigate autonomous systems, and support applications that demand low latency, all critical to user experience. Phi-3 can be deployed in cloud environments, edge computing, or directly on devices, offering unparalleled flexibility for deployment and operations. Developed in alignment with Microsoft AI principles—such as accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—these models ensure ethical AI usage. They also excel in offline environments where data privacy is essential or where internet connectivity is sparse. With an expanded context window, Phi-3 generates outputs that are more coherent, accurate, and contextually relevant, making it an ideal choice for various applications. Ultimately, deploying at the edge not only enhances speed but also ensures that users receive timely and effective responses.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Database Mart Yes 
LM-Kit.NET Yes 
NativeMind Yes 
Runpod Yes 
Airtrain Yes 
Axolotl Yes 
Azure AI Services No 
Azure OpenAI Service No 
BaseRT No 
Cake AI No 
Falcon-7B No 
LLaMA-Factory Yes 
Microsoft Azure Yes 
Molmo No 
Msty No 
Oumi Yes 
Private LLM Yes 
Skott No 
WebLLM No 

Integrations

Database Mart Yes 
LM-Kit.NET Yes 
NativeMind Yes 
Runpod Yes 
Airtrain No 
Axolotl No 
Azure AI Services Yes 
Azure OpenAI Service Yes 
BaseRT Yes 
Cake AI Yes 
Falcon-7B Yes 
LLaMA-Factory No 
Microsoft Azure No 
Molmo Yes 
Msty Yes 
Oumi No 
Private LLM No 
Skott Yes 
WebLLM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Alternatives

Alternatives

Phi-4 Reviews

Phi-4

Microsoft
Phi-3 Reviews

Phi-3

Microsoft
OpenELM Reviews

OpenELM

Apple
Llama Reviews

Llama

Meta
Mistral 7B Reviews

Mistral 7B

Mistral AI
Qwen2 Reviews

Qwen2

Alibaba