Computer Science, Hardware Architecture
Author: LLama 2 7B Chat
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LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
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Artificial Intelligence, Computer Science
Simplifying Multi-Agent Problems with Clustering and Region-Sharing Strategies
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Post-Quantum Privacy-Preserving Computation: Analysis and Constructions
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Boosting Semantic Saliency Detection with Hierarchical Attention Network
Computer Science, Social and Information Networks
Quantum Inspired Algorithms for Social Network Analysis
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Large Language Model Inference Efficiency: A Concern in the Face of Rapid Deployment
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