Liquid Ai
PulseAugur coverage of Liquid Ai — every cluster mentioning Liquid Ai across labs, papers, and developer communities, ranked by signal.
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Liquid AI releases LFM2-24B-A2B, an efficient 24B parameter MoE model
Liquid AI has released an early checkpoint of its LFM2-24B-A2B model, a sparse Mixture of Experts (MoE) architecture with 24 billion total parameters and 2 billion active parameters per token. This model demonstrates th…
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MIT, Liquid AI, and Max Planck develop CompreSSM for AI model compression during training
Researchers from MIT, Liquid AI, and the Max Planck Institute have developed a novel technique called CompreSSM. This method enables the compression of AI architectures during the training process itself. The innovation…
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Shopify CTO 详解 AI 集成、新工作流程和部署挑战
Shopify CTO Mikhail Parakhin 讨论了公司广泛的 AI 集成，强调了 12 月份左右模型质量的显著转变加速了采用。他强调，目前 AI 开发的主要挑战集中在审查、部署稳定性和 CI/CD 流程上，而不是原始代码生成。Parakhin 还详细介绍了三个关键的内部 AI 项目：Tangle 用于可复现的 ML 工作流程，Tangent 用于自动化研究和优化，以及 SimGym 用于模拟客户行为以改进电子商务运营。