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features
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support

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Description

Ling Studio serves as the online platform created by Ant Ling, allowing users to delve into the vast potential of AI while assessing the fundamental capabilities of the Ling model series. This environment offers a seamless way for individuals to test out Ant Ling models prior to utilizing them via API access, thus enhancing the experience of engaging with multi-turn reasoning, processing lengthy contexts, generating multimodal content, and observing model behavior within an interactive chat interface. It is interconnected with Ant Ling’s robust family of models designed for text generation, coding, reasoning, and various multimodal tasks. The Ling models themselves are versatile large language models (LLMs) built on a Mixture of Experts architecture, achieving a balance between a high parameter scale and low activation costs, which facilitates conversation, text creation, and diverse content generation. Additionally, the Ring models are engineered to excel in deep reasoning and cognitive functions, demonstrating exceptional capabilities in mathematics, programming, and achieving high scores on comprehensive reasoning benchmarks, ultimately making them invaluable tools for users seeking advanced AI solutions. This innovative approach not only enhances user engagement but also opens doors to new applications in the AI landscape.

Description

Phi-4-mini-flash-reasoning is a 3.8 billion-parameter model that is part of Microsoft's Phi series, specifically designed for edge, mobile, and other environments with constrained resources where processing power, memory, and speed are limited. This innovative model features the SambaY hybrid decoder architecture, integrating Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, achieving up to ten times the throughput and a latency reduction of 2 to 3 times compared to its earlier versions without compromising on its ability to perform complex mathematical and logical reasoning. With a support for a context length of 64K tokens and being fine-tuned on high-quality synthetic datasets, it is particularly adept at handling long-context retrieval, reasoning tasks, and real-time inference, all manageable on a single GPU. Available through platforms such as Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning empowers developers to create applications that are not only fast but also scalable and capable of intensive logical processing. This accessibility allows a broader range of developers to leverage its capabilities for innovative solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE

Integrations

Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE

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

Ant Group

Founded

2014

Country

China

Website

chat.ant-ling.com/chat

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/

Product Features

Product Features

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