Liquid AI Headlines

Liquid AI

Liquid AI, in partnership with Artificial Analysis, releases Pipette, an open-source benchmark platform for evaluating foundation models on edge devices, with a dataset, open-source clients, and native mobile apps.

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Liquid AI

Liquid AI releases LFM2.5-VL-3B, a new flagship vision-language model with major improvements in screen understanding, function calling, grounding, and multi-image input, optimized for on-device use.

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Microsoft Newsroom

The Linux Foundation joined Cisco, Dell Technologies, IBM, Meta, Microsoft, NVIDIA and other industry signatories in an open letter which makes the case that open weight models are an essential part of the foundation for secure, universally accessible and innovative AI . The letter argues that the right response to the real risks of open weights is a stronger open ecosystem rather than prohibition, and that policymakers should encourage rather than restrict frontier open models.

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Alabia Insights

Liquid AI introduced new multilingual search models with bidirectional architecture, enabling efficient edge deployment.

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MarkTechPost

Liquid AI released two new multilingual retrieval models, LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, for fast search across 11 languages.

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Digg

Digg reports on Liquid AI's new multilingual retrieval models with low latency, summarizing social media reaction.

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thehype.news

Liquid AI shipped two tiny retrieval models for fast, accurate multilingual search, beating larger rivals.

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TipRanks

Liquid AI released two new Japanese-language AI models: LFM2.5-Audio-1.5B-JP and LFM2.5-1.2B-JP-202606.

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TipRanks

Liquid AI released two open-weight vision models for structured data extraction from images.

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LLM Rumors

Detailed analysis of Liquid AI's LFM2.5-8B-A1B edge model and its strategic positioning.

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TipRanks

Liquid AI showcased Liquid ShieldFlow, an on-device privacy layer, at major industry events.

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The Agent Times

The Agent Times reports on Liquid AI's new edge model, with provenance verification.

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TechScoop Canada

Reports on Liquid AI's new 8B-A1B MoE model trained on 38 trillion tokens, highlighting efficiency and accessibility.

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UncensoredHub

Liquid AI released LFM2.5-8B-A1B, an 8B MoE model with 1.5B active parameters optimized for on-device deployment on phones and laptops.

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Tessera Press

Liquid AI released LFM2.5-8B-A1B, a mixture-of-experts model with 8B total parameters, trained on 38T tokens and 128K context.

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BotBridge News

Liquid AI launched LFM2.5-8B-A1B, an edge-optimized MoE model trained on 38T tokens with a 128K context window.

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Startup Fortune

Liquid AI's LFM2.5 release strategy focuses on compact models for edge AI, emphasizing tool use and instruction following.

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Startup Fortune

Liquid AI's LFM2.5-8B-A1B edge model aims to compete with larger rivals through efficient on-device inference.

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Startup Fortune

Liquid AI's LFM2.5-8B-A1B model reduces hallucination rates and runs on laptops, making it suitable for government and enterprise edge deployments.

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Nest Frontier

Article covering Liquid AI's LFM2.5-8B-A1B's 128K context window and implications.

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Digg

Digg aggregates coverage of Liquid AI's model release, including social media reactions.

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Liquid AI Blog

Liquid AI announces LFM2.5-8B-A1B, an 8B MoE model with 1B active parameters, trained on 38T tokens and optimized for on-device inference.

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AI Weekly

Liquid AI released LFM2.5-8B-A1B, an 8B parameter MoE model for on-device inference, with sparse activation.

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Gate of AI

A review of Liquid AI's LFM-2.5 model, highlighting its non-transformer architecture, efficiency, and potential to disrupt the AI landscape.

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AMD

AMD CTO Mark Papermaster and Liquid AI CEO Ramin Hasani discuss efficient AI architectures for edge inference in an AMD blog feature.

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