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The past year has marked a turning point for Chinese AI. Since DeepSeek released its R1 reasoning model in January...
Anton Cherepanov is always on the lookout for something interesting. And in late August last year, he spotted just that....
EVs are getting cheaper and more common all over the world. But the technology still faces major challenges in some...
For data scientists, working with high-dimensional data is part of daily life.
arXiv:2505.15054v3 Announce Type: replace Abstract: Precise recognition, editing, and generation of molecules are essential prerequisites for both chemists and AI...
arXiv:2602.06052v3 Announce Type: replace Abstract: The research of artificial intelligence is undergoing a paradigm shift from prioritizing model innovations over...
arXiv:2504.01928v2 Announce Type: replace Abstract: Despite their impressive capabilities, LLMs exhibit a basic generalization failure known as the Reversal Curse,...
Electric vehicles could be economically competitive in Africa sooner than expected. Just 1% of new cars sold across the continent...
Large language models generate text one token at a time.
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: Bidirectional Encoders That Stay Fast at 8K Context on CPU
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
Liquid AI Releases LFM2-ColBERT-350M: A New Small Model that brings Late Interaction Retrieval to Multilingual and Cross-Lingual RAG
Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token
Liquid AI Released LFM2.5-350M: A Compact 350M Parameter Model Trained on 28T Tokens with Scaled Reinforcement Learning
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking Suite That Measures On-Device Models, Quantization, Runtime and Hardware Together
Liquid AI Open-Sources Antidoom: A Final Token Preference Optimization (FTPO) Method that Reduces Doom Loops in Reasoning Models
Liquid AI Introduces LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: Dense Bi-Encoder and Late-Interaction Models for Fast Multilingual Search Across 11 Languages
Link Prediction for Event Logs in the Process Industry
