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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Image recognition technology that gives you a complete understanding of your digital media. Our on-device computer vision system can provide a response time of less that 250ms. This is 4x faster than our API and doesn't require an internet connection. By simply scanning their phones around a room, users can identify objects in that space. This feature is exclusive to our on-device platform. Privacy concerns are almost eliminated by removing the requirement for data to be sent from the end-user device. Our API takes every precaution to protect your privacy. However, our on-device model raises security standards significantly. CloudSight will send you visual content. Our API will then generate a natural language description. Filter and categorize images. You can also monitor for inappropriate content and assign labels to all your digital media.

Description

LFM2 represents an advanced series of on-device foundation models designed to provide a remarkably swift generative-AI experience across a diverse array of devices. By utilizing a novel hybrid architecture, it achieves decoding and pre-filling speeds that are up to twice as fast as those of similar models, while also enhancing training efficiency by as much as three times compared to its predecessor. These models offer a perfect equilibrium of quality, latency, and memory utilization suitable for embedded system deployment, facilitating real-time, on-device AI functionality in smartphones, laptops, vehicles, wearables, and various other platforms, which results in millisecond inference, device durability, and complete data sovereignty. LFM2 is offered in three configurations featuring 0.35 billion, 0.7 billion, and 1.2 billion parameters, showcasing benchmark results that surpass similarly scaled models in areas including knowledge recall, mathematics, multilingual instruction adherence, and conversational dialogue assessments. With these capabilities, LFM2 not only enhances user experience but also sets a new standard for on-device AI performance.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Hugging Face No 
OpenAI No 
OpenRouter No 
Qwen3 No 
Together AI No 

Integrations

Hugging Face Yes 
OpenAI Yes 
OpenRouter Yes 
Qwen3 Yes 
Together AI Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 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 Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

CloudSight

Founded

2012

Country

United States

Website

cloudsight.ai

Vendor Details

Company Name

Liquid AI

Founded

2023

Country

United States

Website

www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning Yes 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Digital Asset Management

Asset Categorization Yes 
Asset Library Yes 
Asset Sharing No 
Brand Control No 
Customizable Branding Yes 
File Conversion No 
Metadata Management No 
Mobile App No 
Reporting/Analytics Yes 
Search Within Document No 
Search/Filter Yes 
Version Control No 
Watermarking No 
Workflow Management Yes 

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