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10.15.2024PressLiquid AI to Unveil First Products Built on Liquid Foundation Models (LFMs) at Exclusive MIT Event
10.05.2024External articleLiquid AI’s new foundational models
10.03.2024External articleLiquid AI Introduces Liquid Foundation Models (LFMs): A 1B, 3B, and 40B Series of Generative AI Models
10.02.2024External articleLiquid AI Announces First Generation of Language Liquid Foundation Models
10.02.2024External articleMIT Startup Takes On Big AI Names Using Radically New Tech
10.01.2024External articleLiquid AI Announces Generative AI Liquid Foundation Models With Smaller Memory Footprint
10.01.2024External articleLiquid AI launches non-transformer genAI models: Can it ease the power crunch?
10.01.2024External articleLiquid AI's LFMs challenge ChatGPT with innovative architecture and specs
10.01.2024External articleMIT startup Liquid AI releases its first series of generative AI models
10.01.2024External articleLiquid AI, an MIT spinoff, this week announced its first series of generative AI models: Liquid Foundation Models, or LFMs for short.
10.01.2024External articleLiquid AI debuted its non-transformer models, which it says perform on par with other leading generative AI models while requiring less memory
09.30.2024ProductLiquid Foundation Models: Our First Series of Generative AI Models
09.30.2024External articleIn AI arms race, Boston’s LiquidAI claims to have a cheaper, more efficient app
09.30.2024External articleLiquid AI Announces First Generation of Language Liquid Foundation Models
09.30.2024External articleLiquid AI debuts new LFM-based models that seem to outperform most traditional large language models
09.30.2024PressLiquid AI Introduces New Class of Foundational Models, Advancing AI Performance and Efficiency
09.30.2024External articleLiquid AI Launches Liquid Foundation Models: A Game-Changer in Generative AI
09.30.2024External articleMIT spinoff Liquid AI debuts its non-transformer AI models LFM-1B, LFM-3B, and LFM-40B MoE
09.30.2024External articleMIT spinoff Liquid debuts non-transformer AI models and they’re already state-of-the-art
09.29.2024EngineeringFrom Liquid Neural Networks to Liquid Foundation Models
07.26.2024PublicationsTowards a theory of learning dynamics in deep state space models
07.09.2024NewsLiquid at ICML 2024
06.16.2024PublicationsThe Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
05.01.2024PublicationsLarge Scale Dataset Distillation with Domain Shift
05.01.2024PublicationsLLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
05.01.2024PublicationsMechanistic Design and Scaling of Hybrid Architectures
05.01.2024PublicationsPosition: Future Directions in the Theory of Graph Machine Learning
05.01.2024PublicationsRoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
05.01.2024PublicationsState-Free Inference of State-Space Models: The *Transfer Function* Approach
04.22.2024NewsLiquid at ICLR 2024