Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...
Applications of Federated Large Language Model for Adverse Drug Reactions Prediction: Scoping Review
Additionally, client models trained on the edge device can be merged into a global model on the server, preserving data privacy. Results: Natural Language Processing (NLP) technologies underpinning ...
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
TeleChat3 series – China Telecom’s TeleAI released the first large-scale Mixture-of-Experts (MoE) models trained entirely on ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Abstract: Accurate and efficient detection of internal defects in chips is crucial for ensuring the reliability and yield of electronic products. However, conventional object detection models often ...
This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository for the latest updates and to ...
Abstract: We propose Matryoshka, a novel framework for transformer model pruning, enabling dynamic runtime controls while maintaining competitive accuracy to modern large language models (LLMs).
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