Computation and Language, Computer Science
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.
Exploring Accuracy in Solar Radiation Prediction with Deep Learning Techniques
Computer Science, Machine Learning
Developmental Pretraining: A Promising Approach to Overcome Data-Hungry Deep Networks
Fast Normal Approximation for False Discovery Rate Control in Matrix Completion
Instrumentation and Methods for Astrophysics, Physics
Comparing Faster RCNN with Transformer-Based Methods: A Galactic Approach
Computer Science, Computer Vision and Pattern Recognition
Cloud Segmentation via Machine Learning Approaches: A Comparative Study
Computer Science, Computer Vision and Pattern Recognition
Large-scale Audio-Visual Dataset for Emotional Talking Face Generation
Computer Science, Computer Vision and Pattern Recognition
Enhancing Polyp Segmentation with SAM-Guided Masks
Computer Science, Computer Vision and Pattern Recognition
Practical Data Augmentation with a Reduced Search Space
National Science Foundation of China Grant Supported Research: A New Optimization Algorithm for Solving Large-Scale Nonlinear Programming Problems
Computer Science, Systems and Control
Design of Distributed Control Strategies for Multi-Robot Systems via Optimization and Sliding Modes
Computer Science, Computer Vision and Pattern Recognition
Aggregating Deep Features for Image Retrieval
Computer Science, Logic in Computer Science
Optimality of Fast CNF Conversion and its Application with SAT
Computer Science, Software Engineering
ML-Based AWI Studies: A Comprehensive Review
Artificial Intelligence, Computer Science
Agent-OM: Leveraging Large Language Models for Ontology Matching.
Mathematics, Numerical Analysis
acknowledgments
Mathematics, Numerical Analysis
Fast and Robust SCARE Solver via FP-CARE SDA
Computer Science, Computer Vision and Pattern Recognition
StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter.
Artificial Intelligence, Computer Science
Reorganizing Ontologies: A Semantic Approach to Preserving Structure and Meaning
Artificial Intelligence, Computer Science