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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

The GPT-5.2 Instant model represents a swift and efficient iteration within OpenAI's GPT-5.2 lineup, tailored for routine tasks and learning, showcasing notable advancements in responding to information-seeking inquiries, how-to guidance, technical documentation, and translation tasks compared to earlier models. This version builds upon the more engaging conversational style introduced in GPT-5.1 Instant, offering enhanced clarity in its explanations that prioritize essential details, thus facilitating quicker access to precise answers for users. With its enhanced speed and responsiveness, GPT-5.2 Instant is adept at performing common functions such as handling inquiries, creating summaries, supporting research efforts, and aiding in writing and editing tasks, while also integrating extensive enhancements from the broader GPT-5.2 series that improve reasoning abilities, manage longer contexts, and ensure factual accuracy. As a part of the GPT-5.2 family, it benefits from shared foundational improvements that elevate its overall reliability and performance for a diverse array of daily activities. Users can expect a more intuitive interaction experience and a significant reduction in the time spent searching for information.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agentforce Vibes No 
Amp No 
Azure OpenAI Service No 
C++ No 
ChatGPT No 
Codex Security No 
GPT-5.1-Codex-Max No 
Ghost No 
Kimi K2 Thinking No 
Microsoft 365 Copilot No 
Microsoft Foundry Models No 
Node.js No 
OpenAI Codex No 
OpenClaw No 
OpenRouter No 
Python No 
Shiori No 
ThreadMaster.ai No 
Transor No 
Visual Studio Code No 

Integrations

Agentforce Vibes Yes 
Amp Yes 
Azure OpenAI Service Yes 
C++ Yes 
ChatGPT Yes 
Codex Security Yes 
GPT-5.1-Codex-Max Yes 
Ghost Yes 
Kimi K2 Thinking Yes 
Microsoft 365 Copilot Yes 
Microsoft Foundry Models Yes 
Node.js Yes 
OpenAI Codex Yes 
OpenClaw Yes 
OpenRouter Yes 
Python Yes 
Shiori Yes 
ThreadMaster.ai Yes 
Transor Yes 
Visual Studio Code Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 No 

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

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

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