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ease
features
design
support

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Description

The fundamental operation of PFM involves establishing your own business network to gather data from connected devices, allowing for centralized management and oversight through a single account interface. After logging into your PFM Cloud account, you can set up customer accounts, which may include service providers and their associated subaccounts. Client accounts are those that host the rented devices, enabling efficient organization. PFM Cloud interacts with an application known as PFM Agent, which should be installed within the network housing the devices; this application is responsible for transferring the gathered data back to your cloud account. Furthermore, PFM Agent ensures the security of the information by transmitting it through a completely secure and encrypted connection. Additionally, for each customer account, you can conduct multiple installations, necessitating the configuration of a PFM Agent for every client account added to your business network, thereby facilitating the aggregation of all distinct network locations. This interconnected system not only streamlines data management but also enhances operational efficiency across various customer accounts.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Services
Azure OpenAI Service
Cake AI
Database Mart
Falcon-7B
LM-Kit.NET
Molmo
Msty
NativeMind
RunPod
Skott
WebLLM

Integrations

Azure AI Services
Azure OpenAI Service
Cake AI
Database Mart
Falcon-7B
LM-Kit.NET
Molmo
Msty
NativeMind
RunPod
Skott
WebLLM

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

PFM Cloud

Website

www.pfmcloud.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

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Product Features

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