AI start-up Liquid AI has unveiled new foundation models that are not based on the usual Transformer architecture. According to the company, the so-called Liquid Foundation Models (LFMs) should outperform models such as Meta's Llama 3 or Microsoft's Phi-3 in a comparable size. According to Liquid AI, even the smallest model, the LFM 1.3B, outperforms Meta's new Llama 3.2-1.2B in many benchmarks. The LFMs are available in three sizes: 1.3 billion, 3 billion and 40 billion parameters. They are said to be particularly memory efficient and suitable for various data types such as text, audio, and video. Liquid AI was founded by former MIT researchers; team members were involved in StripedHyena, among other projects. Liquid AI is planning a product launch at MIT on 23 October 2024, the models are not open source. You can try out Liquid on the Playground.
Hub AI in practice
Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.
What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.
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