AI Briefing#modernbert
The latest AI and developer news about #modernbert, with the original source and a short summary.
The latest AI and developer news about #modernbert, with the original source and a short summary.
The new pipeline reduces median post-push scan execution time by 86% and improves user acceptance by 11.5% compared to the previous LLM approach.
The new model assesses candidate secrets in under two milliseconds and is available in private preview for Enterprise Cloud and Teams.
Hugging Face released 6 Ettin-based rerankers along with the training recipe.
IBM Granite released 97M and 311M multilingual embedding R2 models under Apache 2.0.
mmBERT, a next-generation multilingual encoder based on the ModernBERT architecture and supporting over 1,800 languages, has been released.
The Ettin Suite has been released, a family of SoTA-level encoder and decoder models trained with the same data and training recipe.
ModernBERT, a next-generation BERT replacement model with an 8,192-token long context and improved performance, has been released.