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
    985 Ratings
    Company Website
  • Adobe Firefly Reviews & Ratings
    25,029 Ratings
    Company Website
  • Lenso.ai Reviews & Ratings
    2 Ratings
    Company Website
  • Haast Reviews & Ratings
    4 Ratings
    Company Website
  • MobiPDF Reviews & Ratings
    7,001 Ratings
    Company Website
  • TimeControl Reviews & Ratings
    1 Rating
    Company Website
  • iPlum Reviews & Ratings
    9,148 Ratings
    Company Website
  • Graylog Reviews & Ratings
    432 Ratings
    Company Website

What is Llama 4 Scout?

Llama 4 Scout represents a leap forward in multimodal AI, featuring 17 billion active parameters and a groundbreaking 10 million token context length. With its ability to integrate both text and image data, Llama 4 Scout excels at tasks like multi-document summarization, complex reasoning, and image grounding. It delivers superior performance across various benchmarks and is particularly effective in applications requiring both language and visual comprehension. Scout's efficiency and advanced capabilities make it an ideal solution for developers and businesses looking for a versatile and powerful model to enhance their AI-driven projects.

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

Baseten
C#
CentML
Go
Groq
Java
JavaScript
Kotlin
Llama
Llama 4 Behemoth
Meta Model API
Okara
OpenRouter
PHP
Python
R
Scala
Snowflake
Snowflake Cortex AI
kluster.ai

Integrations Supported

Baseten
C#
CentML
Go
Groq
Java
JavaScript
Kotlin
Llama
Llama 4 Behemoth
Meta Model API
Okara
OpenRouter
PHP
Python
R
Scala
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
Claude Sonnet 4 Reviews & Ratings

Claude Sonnet 4

Anthropic
Claude Opus 4 Reviews & Ratings

Claude Opus 4

Anthropic
Qwen3.7-Plus Reviews & Ratings

Qwen3.7-Plus

Alibaba