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MIT Spinoff LiquidAI Debuts State-of-the-Art Non-Transformer AI Models with Context Length Scaling

Sep 30, 2024, 05:14 PM

MIT spinoff LiquidAI has introduced Liquid Foundation Models (LFMs), a new series of language models that represent a significant advancement in AI technology. These models, which include a 1B, 3B, and 40B parameter model, are notable for their state-of-the-art performance despite not being based on the traditional Transformer architecture. The LFMs are designed to have minimal memory footprints, making them suitable for edge deployments. The research team, which includes notable figures such as Joscha Bach and Mikhail Parakhin, has reimagined AI from first principles, resulting in groundbreaking models that outperform traditional architectures. LiquidAI's innovative approach draws inspiration from biological systems, aiming to rethink all parts of the AI pipeline from architecture design to post-training. The models also feature context length scaling and achieve SOTA performance without using GPT.