Electrical Engineering and Systems Science, Image and Video Processing
Author: LLama 2 7B Chat
Page 19/179
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.
Computer Science, Computer Science and Game Theory
Unlocking the Power of AI: Combining Game Theory and Neural Networks
Computer Science, Computer Vision and Pattern Recognition
Deep Mixture of Experts for Single Image De-Hazing
Computer Science, Computer Vision and Pattern Recognition
Exploring Meaningful Features for Image Restoration: A Comprehensive Review
Computer Science, Machine Learning
Enhancing Meta-Learning via Task-Aware Modulation
Self-Supervised Learning for Speech Recognition: A Comparative Study
Computer Science, Machine Learning
Efficient Learning of Bounded Variation Functions via Influence PCA
Computer Science, Cryptography and Security
Chosen-Coordinate Binding and Collapsing Experiments in Quantum Cryptography
Electrical Engineering and Systems Science, Systems and Control
Navigating Challenges in Autonomous Driving with Residual Structures and SAC
Computer Science, Information Theory
Covert Communication in Wireless Networks: A Feasibility-Checking Approach
Computation and Language, Computer Science
Improving Aspect-Based Sentiment Classification with Enhanced Fusion Methods
Quantitative Biology, Quantitative Methods
Designing Efficient Multi-Objective Optimization Algorithms for Personalized Cancer Therapy
Computer Science, Computer Vision and Pattern Recognition
Efficient Recycling of Electronic Waste: A Comprehensive Review
Computer Science, Machine Learning
Mutual Information Maximization for Dataset Distillation
Autonomous Docking Method via Non-linear Model Predictive Control
Computer Science, Human-Computer Interaction
Understanding Contextual Inquiries for Audience Learning: A Comprehensive Review
Computer Science, Software Engineering
Predicting Trends in Software Engineering: A Future-Focused Analysis
Mathematics, Optimization and Control
Intelligent Transportation Systems’ Stability Analysis via Backstepping
Computer Science, Machine Learning
Unlocking IL Robustness through Localized Learning Algorithms
Mathematics, Optimization and Control