Liquid AI Releases Open-Weight Bidirectional Encoders LFM2.5-Encoder-230M and 350M

Liquid AI has released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and 350M, built on the LFM2 hybrid backbone with 8,192-token context. The 350M model ranks fourth among 14 models on 17 tasks, outperforming larger models like XLM-R XL. Both encoders are optimized for CPU deployment, with the 230M model being significantly faster than ModernBERT-base at 8K context.

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Yelp Launches Training Orchestrator for Unified Management of Machine Learning Model Training

Yelp introduces Training Orchestrator, an internal framework that replaces fragmented Spark training scripts across teams. It uses a configuration-based, DAG-driven execution model to improve reproducibility, testability, and development speed.

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