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Description

An advanced End-to-End MLLM is designed to accept various forms of references and effectively ground responses. The Ferret Model utilizes a combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which allows for detailed and flexible referring and grounding capabilities within the MLLM framework. The GRIT Dataset, comprising approximately 1.1 million entries, serves as a large-scale and hierarchical dataset specifically crafted for robust instruction tuning in the ground-and-refer category. Additionally, the Ferret-Bench is a comprehensive multimodal evaluation benchmark that simultaneously assesses referring, grounding, semantics, knowledge, and reasoning, ensuring a well-rounded evaluation of the model's capabilities. This intricate setup aims to enhance the interaction between language and visual data, paving the way for more intuitive AI systems.

Description

GPT-4.1 represents a significant upgrade in generative AI, with notable advancements in coding, instruction adherence, and handling long contexts. This model supports up to 1 million tokens of context, allowing it to tackle complex, multi-step tasks across various domains. GPT-4.1 outperforms earlier models in key benchmarks, particularly in coding accuracy, and is designed to streamline workflows for developers and businesses by improving task completion speed and reliability.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aider
BLACKBOX AI
C
CSS
Clawd.run
ClickUp Brain
DataGrip
HTML
JavaScript
Parallel
PhpStorm
Plurai
PyCharm
Rider
RubyMine
Skymel
Snowflake Cortex AI
T3 Chat
Visual Studio Code
WebStorm

Integrations

Aider
BLACKBOX AI
C
CSS
Clawd.run
ClickUp Brain
DataGrip
HTML
JavaScript
Parallel
PhpStorm
Plurai
PyCharm
Rider
RubyMine
Skymel
Snowflake Cortex AI
T3 Chat
Visual Studio Code
WebStorm

Pricing Details

Free
Open source
Free Trial
Free Version

Pricing Details

$2 per 1M tokens (input)
$2 per 1 million tokens (input)
$0.50 per 1 million tokens (cached input)
$8 per 1 million tokens (output)
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

Apple

Founded

1976

Country

United States

Website

github.com/apple/ml-ferret

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/gpt-4-1/

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