Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • Screencapt Reviews & Ratings
    138 Ratings
    Company Website
  • Google Workspace Reviews & Ratings
    69,107 Ratings
    Company Website
  • Resco Inspections+ Reviews & Ratings
    68 Ratings
    Company Website
  • Infor M3 Reviews & Ratings
    156 Ratings
    Company Website

What is Llama 4 Maverick?

Meta’s Llama 4 Maverick is a state-of-the-art multimodal AI model that packs 17 billion active parameters and 128 experts into a high-performance solution. Its performance surpasses other top models, including GPT-4o and Gemini 2.0 Flash, particularly in reasoning, coding, and image processing benchmarks. Llama 4 Maverick excels at understanding and generating text while grounding its responses in visual data, making it perfect for applications that require both types of information. This model strikes a balance between power and efficiency, offering top-tier AI capabilities at a fraction of the parameter size compared to larger models, making it a versatile tool for developers and enterprises alike.

What is Ferret?

A sophisticated End-to-End MLLM has been developed to accommodate various types of references and effectively ground its responses. The Ferret Model employs a unique combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which facilitates detailed and adaptable referring and grounding functions within the MLLM framework. Serving as a foundational element, the GRIT Dataset consists of about 1.1 million entries, specifically designed as a large-scale and hierarchical dataset aimed at enhancing instruction tuning in the ground-and-refer domain. Moreover, the Ferret-Bench acts as a thorough multimodal evaluation benchmark that concurrently measures referring, grounding, semantics, knowledge, and reasoning, thus providing a comprehensive assessment of the model's performance. This elaborate configuration is intended to improve the synergy between language and visual information, which could lead to more intuitive AI systems that better understand and interact with users. Ultimately, advancements in these models may significantly transform how we engage with technology in our daily lives.

Media

Media

Integrations Supported

BLACKBOX AI
Baseten
C
C#
C++
CSS
Editee
Elixir
F#
Go
Groq
Java
JavaScript
Novelcrafter
R
Rust
SambaNova
Snowflake
Snowflake Cortex AI
kluster.ai

Integrations Supported

BLACKBOX AI
Baseten
C
C#
C++
CSS
Editee
Elixir
F#
Go
Groq
Java
JavaScript
Novelcrafter
R
Rust
SambaNova
Snowflake
Snowflake Cortex AI
kluster.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com

Company Facts

Organization Name

Apple

Date Founded

1976

Company Location

United States

Company Website

github.com/apple/ml-ferret

Popular Alternatives

Popular Alternatives

Qwen3.5-Omni Reviews & Ratings

Qwen3.5-Omni

Alibaba
Qwen3.7-Plus Reviews & Ratings

Qwen3.7-Plus

Alibaba