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Description

FLUX 3 Action is a versatile 7B world-action model aimed at enhancing action prediction for robotics and other environments with high latency demands. This model is built upon the multimodal FLUX 3 backbone and has undergone extensive pretraining on vast datasets encompassing images, videos, and audio, with a notable focus on video content. It then goes through a phase of joint video-action training and fine-tuning tailored to specific robotic applications and action frameworks. By utilizing instructions, visual input from cameras, and robot joint angles, FLUX 3 Action is capable of predicting motor commands alongside anticipated visual outcomes, enabling robots to perform actions, reassess their surroundings, and iterate on their plans. This approach contrasts with methods that treat visual prediction and control as separate processes, as FLUX 3 Action integrates future video predictions with action commands, effectively leveraging knowledge gained from extensive video pretraining to refine robot control mechanisms. Impressively, its single-step 7B model achieves a success rate of 38.3% on the RoboLab-120 benchmark, showcasing its effectiveness in real-world applications. Furthermore, this innovative integration of action and perception marks a significant advancement in the field of robotic control.

Description

IBM Network Intelligence aims to enhance the transition towards an autonomous network lifecycle by providing instantaneous insights and operational automation across various vendors and domains. It employs network-native AI that is specifically trained on extensive telemetry data rather than generic datasets, merging analytical and reasoning functions to act as a cooperative partner rather than merely an observer. With its transparent and explainable AI decisions, it equips users with the assurance needed to understand the rationale behind each action taken. Built upon an open, interoperable framework, it seamlessly integrates with current tools and can function in on-premises, cloud, or hybrid settings without imposing vendor lock-in or necessitating complete system overhauls. From the outset, its pretrained models and swift ecosystem integration empower teams to reduce distractions by leveraging semantic understanding to highlight only actionable, high-confidence insights. This capability not only decreases the frequency of repeated incidents but also accelerates repair times and enhances overall mean time performance, ultimately streamlining network management. Thus, organizations can confidently adopt this cutting-edge technology to navigate the complexities of modern network environments more effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Black Forest Labs

Founded

2024

Country

Germany

Website

bfl.ai/models/flux-3-action

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/network-intelligence

Product Features

Product Features

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