Computer Science, Machine Learning
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.
Mathematics, Numerical Analysis
Faster GMRES Iterations with Preconditioned Neumann Schur Complement
Computer Science, Computer Vision and Pattern Recognition
Improving Content Moderation with Context-Specific Language Prompts
Computer Science, Computer Vision and Pattern Recognition
Modifying HouseDiffusion to Incorporate Structural Walls
Computer Science, Data Structures and Algorithms
Density Peaks Clustering: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Efficient Document Image Binarization via Hierarchical DSN and Transformer
Computer Science, Information Theory
Accurate Prediction of Pathloss Using Machine Learning Techniques
Computer Science, Machine Learning
Reconciling Modern Machine Learning Practice and the Classical Bias-Variance Tradeoff
Computer Science, Software Engineering
Identifying and Resolving Trigger-Action Program Violations in Web of Things
Neurons and Cognition, Quantitative Biology
Emergent Representations through Mutual Information Estimation
Comparative Evaluation of Pretraining Objectives for Embodied AI: A Multi-Step Analysis
Computer Science, Computer Vision and Pattern Recognition
Influence of Iterations on SLAM Performance
Computer Science, Human-Computer Interaction
AI Applications in Healthcare: Challenges and Opportunities
Computer Science, Machine Learning
Enhanced Skill Acquisition and Dynamic Selection for Reinforcement Learning
Computer Science, Machine Learning
Improving Surgical Feedback Classification with Deep Multimodal Fusion
Computer Science, Machine Learning
Pruning Methods for Neural Networks: A Comparative Analysis
Computer Science, Cryptography and Security
Privacy-Preserving Machine Learning for Medical Imaging Analysis
Prioritizing Observations in Temporal Datasets via Autocorrelation
Frontier-Based Object Navigation: A Comparative Study
Computer Science, Computer Vision and Pattern Recognition