Liquid Foundation Models (LFMs) are a new generation of generative AI models developed by Liquid AI, designed to deliver state-of-the-art performance across various scales while maintaining a smaller memory footprint and more efficient inference compared to traditional transformer-based architectures. Built from first principles, LFMs are versatile and capable of processing sequential data types, including text, audio, video, time series, and signals.
Liquid Engine is a comprehensive framework designed for the development and deployment of Liquid Foundation Models (LFMs), offering versatile, high-performance AI solutions across various industries. LFMs are adept at handling tasks in natural language processing, audio analysis, video recognition, and other sequential multimodal data applications.