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Description

Microsoft Frontier Tuning enables businesses to tailor one or multiple of Microsoft’s leading MAI models to fit their specific operational requirements, allowing for training in a secure setting rather than depending on a standard AI model. The customization process begins by outlining the objectives and criteria for success, followed by integrating data, workflows, and insights gathered from Microsoft 365 and other sources. Continuous improvement is achieved through ongoing training and iterative refinement, with the model being deployed in platforms like Microsoft Foundry or Copilot, where it can enhance itself based on actual usage patterns. This innovative approach ensures that the models are well-versed in the organization’s terminology, context, processes, and expertise while maintaining strict privacy and security for all data within the client’s ecosystem. Additionally, Microsoft Frontier Tuning empowers teams with greater control over their models, minimizes the risks of vendor lock-in, and maximizes the return on investment by providing cutting-edge performance paired with exceptional token efficiency. As a result, organizations can expect to see enhanced operational effectiveness and a stronger alignment with their unique business strategies.

Description

Phi-4 is an advanced small language model (SLM) comprising 14 billion parameters, showcasing exceptional capabilities in intricate reasoning tasks, particularly in mathematics, alongside typical language processing functions. As the newest addition to the Phi family of small language models, Phi-4 illustrates the potential advancements we can achieve while exploring the limits of SLM technology. It is currently accessible on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and is set to be released on Hugging Face in the near future. Due to significant improvements in processes such as the employment of high-quality synthetic datasets and the careful curation of organic data, Phi-4 surpasses both comparable and larger models in mathematical reasoning tasks. This model not only emphasizes the ongoing evolution of language models but also highlights the delicate balance between model size and output quality. As we continue to innovate, Phi-4 stands as a testament to our commitment to pushing the boundaries of what's achievable within the realm of small language models.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft Foundry Yes 
Azure Voice Live API No 
BLACKBOX AI No 
Database Mart No 
Hugging Face No 
LM-Kit.NET No 
Microsoft Azure Yes 
Microsoft Copilot Yes 
Microsoft Foundry Models No 
NativeMind No 
Private Mind No 
Runpod No 

Integrations

Microsoft Foundry Yes 
Azure Voice Live API Yes 
BLACKBOX AI Yes 
Database Mart Yes 
Hugging Face Yes 
LM-Kit.NET Yes 
Microsoft Azure No 
Microsoft Copilot No 
Microsoft Foundry Models Yes 
NativeMind Yes 
Private Mind Yes 
Runpod 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 AI

Founded

2024

Country

United States

Website

microsoft.ai/models/microsoft-frontier-tuning/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.com

Product Features

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