Part 8/11:
- Image understanding tasks: Achieving 58.68 on info VQA and 742 on OCR benchmarks.
Beyond accuracy, the models shine in speed—outpacing rivals by a factor of two during inference on standard test images, enabling real-time processing essential for practical deployment.
Easy Integration & Offline Functionality
Liquid AI has prioritized ease of use and deployment:
Seamless compatibility with Hugging Face transformers.
Support for quantization techniques, reducing model size and memory footprint.
Integration into Leap, their platform that simplifies running models on mobile devices across iOS, Android, and desktop.
A companion app called Apollo allows developers to test models offline—an important feature for privacy-centric applications.